TextMining.pptx
•Descargar como PPTX, PDF•
0 recomendaciones•3 vistas
Summary : Analysing Digital Banking Reviews Using Text Mining IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2020 Li Chen Cheng. + Paper implimentation code
Denunciar
Compartir
Denunciar
Compartir
Recomendados
Mini-Case Study Closing Projects at Global Green Books Pu.docx
Mini-Case Study: Closing Projects at Global Green Books Publishing
Global Green Books Publishing is continuing to grow. The customized eBooks line of work is
continuing to grow, and they now have a lot of experience from the eBook projects that they
have completed for their first eBook customer, a local college, and for their newer customers.
However, as new projects come in and start to run into problems, some of the project managers
in the project management office and their manager, Samantha, were discussing how it seems
like it is déjà vu all over again – some of the same problems that they thought they had solved in
working with supervisors and their teams on past projects keep on occurring.
The eBook projects are functioning well, and customers are happy with the results. Repeat
orders are coming in and new customers are turning to Global Green Books for their eBook
production needs.
But, there are just some problems that seem to keep popping up. One of the project managers
even described dealing with these problems as being like playing the popular arcade game of
“Whack-a-Mole” - as soon as you deal with one to make it disappear, the same one or another
one just pops up. It seems like a never-ending struggle to try and solve some of these
problems, especially when some seem like they were already solved on another earlier project.
In the PM handbook that Samantha had implemented, when projects completed the supervisors
finished tracking all of the actual effort and costs and turned that information over to cost
accounting for billing purposes. As Samantha and colleagues implemented the project
management office, they modified the PM manual to have a copy of this information also shared
with the project management office. They have found this information to be sometimes useful
as historical data to help develop estimates for new projects as requests for new eBooks come
in from their customers.
The PMO team was discussing making changes to the PM manual and holding a short training
for supervisors to implement some improvements to their project completion processes. They
wanted to change their standard job template to incorporate these additions:
a planned task for supervisors to close out the project,
a task to create a lessons learned report, and
an optional task for a closing celebration for the team to mark the end of the project,
They felt that it was important that the PMO start capturing lessons learned. These could be
collated by the supervisors at the end of the project, or they could encourage supervisors to
plan, schedule and hold a project closing meeting with their team members to thank the team
members and to collect lessons learned from all of the team. They could also invite feedback or
participation from the relevant Customer Service Representatives and account managers.
The PMO received management approval for these changes, upda ...
Customers Satisfaction on the Retail Banking Sector in Bangladesh: A Case Stu...
This document analyzes customer satisfaction with retail banking services at City Bank Limited in Bangladesh. It conducts a case study through a survey of 50 City Bank customers to measure their expectations and satisfaction levels. The survey finds that customers are generally satisfied with reliability but less satisfied with accessibility, fees, and ATM services. To improve satisfaction, the bank should focus on expanding its branch network, simplifying the account opening process, improving ATM availability and reducing transaction fees. The study aims to help City Bank enhance its customer service and better meet customer needs.
Things to Consider for Improvement of Usability of E-Commerce in Context of B...
This document discusses improving the usability of e-commerce websites in Bangladesh. It outlines research objectives to identify usability challenges and factors to increase e-commerce development. The methodology involves surveys and usability testing of popular Bangladeshi e-commerce sites to identify problems like long registration pages and lack of accessibility. The expected outcomes are revealing critical adoption aspects and how usability affects social attention and identifying research gaps.
Internet Banking in Social Media - Replise Mind Radar
Mind Radar
Mind Radar is mostly qualitative study to collect and structure all issues and their diverse angles of perception around a brand or theme within the online community. The Mind Radar study not only situates the brand in the social media discourse, helping you to craft engaging social media messages, but also helps you structure the discourse into meaningful aspects. The study explores and analyses the key currents and undercurrents of the social media discourse and draws out the movers or barriers of a decision.
By downloading this study you received a report, which maps consumer insights and attitudes towards internet banking. It analyses habits, expectations, improvement ideas, and issues discussed by consumers.
The report’s goal is to support marketing and product improvements and helps to set services and products to customer needs. This research is based on data gathered by Replise within a three month time period, coded by the aim of the report and analysed by the analyst team.
About Replise
The Social Intelligence Company Founded 2010 in Hungary by serial entrepreneurs. Replise provides social research services in more than 40 languages and operates offices in Germany, UK, Poland and Hungary. Focusing on social research using proven market research methodologies, Replise has established partnerships with classic market research firms. Replise’s services are based on the combination of a unique high-end social analytics platform and a team of qualified analysts with years of market expertise. We can provide access to historical as well as real time data from blogs, forums, news portals, video platforms and social networks like Twitter and Facebook. Replise products and services are used by well-known brands and many marketing and PR agencies across Europe.
User stories collection via interactive chatbot to support requirements gathe...
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
Design Thinking for Digital Banking
It’s clear how Incumbent banks are met with unprecedented market forces. Fintech and neobanks—new financial players that offer more and more exciting financial products—are eating up banking market shares. Meanwhile, the growing use of alternative payments such as PayPal, Samsung Pay, Apple Pay, and so on points to the fact that customers are finding traditional banks inconvenient and untrustworthy. At the same time, people are walking away from physical branches; instead preferring mobile banking for ease and convenience, according to a recent report by Backbase. On top of that, the government continues to encourage Digital Banking, made apparent by the government’s recent directives. These factors may sound like twists and turns that took traditional banks by surprise, yet they point to the refusal to change and innovate in the face of digital disruption. Now that change becomes a matter of life and death for banks, there’s an evident need for a shift in mindset and principle called Design Thinking. This paper looks over the relevance and application of Design Thinking in the banking sector. You will also get to explore how some current banks are applying this method. The promise of Design Thinking for banks proves beyond doubt. Now let’s dive in.
IRJET- Physical Design of Approximate Multiplier for Area and Power Efficiency
This document summarizes research on using statistical measures and machine learning techniques to perform sentiment analysis on product reviews. The researchers collected product review data from online sources and analyzed the sentiment and opinions expressed in the text using support vector machine classifiers. They classified reviews as positive or negative and analyzed key product features that were discussed. The results demonstrated that statistical sentiment analysis can help companies better understand customer feedback and identify popular product versions or attributes. Several related works applying techniques like naive Bayes, lexicon-based methods and aspect-based sentiment analysis on reviews from domains like movies, hotels and restaurants are also summarized.
A Study on Role of Technology in Banking Sector
The purpose of this study is to examine the relationship between new technology implementation in banking sector and customers How they are aware about the technologies and how they are using it Data for this study was collected from the customers of various Banking Sectors under the Reserve Bank of India A simple percentage analysis and pie chart will be done According to questioners 30 samples are collected and interpretations are given Findings suggest that most of the customers of bank using ATM facility So the banks need to give awareness about the E-banking services Lastly, the paper is of few papers that focus on technology development in banking industry Aswin Raj. T | Mr. Bala Nageshwara Rao "A Study on Role of Technology in Banking Sector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18357.pdf
Recomendados
Mini-Case Study Closing Projects at Global Green Books Pu.docx
Mini-Case Study: Closing Projects at Global Green Books Publishing
Global Green Books Publishing is continuing to grow. The customized eBooks line of work is
continuing to grow, and they now have a lot of experience from the eBook projects that they
have completed for their first eBook customer, a local college, and for their newer customers.
However, as new projects come in and start to run into problems, some of the project managers
in the project management office and their manager, Samantha, were discussing how it seems
like it is déjà vu all over again – some of the same problems that they thought they had solved in
working with supervisors and their teams on past projects keep on occurring.
The eBook projects are functioning well, and customers are happy with the results. Repeat
orders are coming in and new customers are turning to Global Green Books for their eBook
production needs.
But, there are just some problems that seem to keep popping up. One of the project managers
even described dealing with these problems as being like playing the popular arcade game of
“Whack-a-Mole” - as soon as you deal with one to make it disappear, the same one or another
one just pops up. It seems like a never-ending struggle to try and solve some of these
problems, especially when some seem like they were already solved on another earlier project.
In the PM handbook that Samantha had implemented, when projects completed the supervisors
finished tracking all of the actual effort and costs and turned that information over to cost
accounting for billing purposes. As Samantha and colleagues implemented the project
management office, they modified the PM manual to have a copy of this information also shared
with the project management office. They have found this information to be sometimes useful
as historical data to help develop estimates for new projects as requests for new eBooks come
in from their customers.
The PMO team was discussing making changes to the PM manual and holding a short training
for supervisors to implement some improvements to their project completion processes. They
wanted to change their standard job template to incorporate these additions:
a planned task for supervisors to close out the project,
a task to create a lessons learned report, and
an optional task for a closing celebration for the team to mark the end of the project,
They felt that it was important that the PMO start capturing lessons learned. These could be
collated by the supervisors at the end of the project, or they could encourage supervisors to
plan, schedule and hold a project closing meeting with their team members to thank the team
members and to collect lessons learned from all of the team. They could also invite feedback or
participation from the relevant Customer Service Representatives and account managers.
The PMO received management approval for these changes, upda ...
Customers Satisfaction on the Retail Banking Sector in Bangladesh: A Case Stu...
This document analyzes customer satisfaction with retail banking services at City Bank Limited in Bangladesh. It conducts a case study through a survey of 50 City Bank customers to measure their expectations and satisfaction levels. The survey finds that customers are generally satisfied with reliability but less satisfied with accessibility, fees, and ATM services. To improve satisfaction, the bank should focus on expanding its branch network, simplifying the account opening process, improving ATM availability and reducing transaction fees. The study aims to help City Bank enhance its customer service and better meet customer needs.
Things to Consider for Improvement of Usability of E-Commerce in Context of B...
This document discusses improving the usability of e-commerce websites in Bangladesh. It outlines research objectives to identify usability challenges and factors to increase e-commerce development. The methodology involves surveys and usability testing of popular Bangladeshi e-commerce sites to identify problems like long registration pages and lack of accessibility. The expected outcomes are revealing critical adoption aspects and how usability affects social attention and identifying research gaps.
Internet Banking in Social Media - Replise Mind Radar
Mind Radar
Mind Radar is mostly qualitative study to collect and structure all issues and their diverse angles of perception around a brand or theme within the online community. The Mind Radar study not only situates the brand in the social media discourse, helping you to craft engaging social media messages, but also helps you structure the discourse into meaningful aspects. The study explores and analyses the key currents and undercurrents of the social media discourse and draws out the movers or barriers of a decision.
By downloading this study you received a report, which maps consumer insights and attitudes towards internet banking. It analyses habits, expectations, improvement ideas, and issues discussed by consumers.
The report’s goal is to support marketing and product improvements and helps to set services and products to customer needs. This research is based on data gathered by Replise within a three month time period, coded by the aim of the report and analysed by the analyst team.
About Replise
The Social Intelligence Company Founded 2010 in Hungary by serial entrepreneurs. Replise provides social research services in more than 40 languages and operates offices in Germany, UK, Poland and Hungary. Focusing on social research using proven market research methodologies, Replise has established partnerships with classic market research firms. Replise’s services are based on the combination of a unique high-end social analytics platform and a team of qualified analysts with years of market expertise. We can provide access to historical as well as real time data from blogs, forums, news portals, video platforms and social networks like Twitter and Facebook. Replise products and services are used by well-known brands and many marketing and PR agencies across Europe.
User stories collection via interactive chatbot to support requirements gathe...
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
Design Thinking for Digital Banking
It’s clear how Incumbent banks are met with unprecedented market forces. Fintech and neobanks—new financial players that offer more and more exciting financial products—are eating up banking market shares. Meanwhile, the growing use of alternative payments such as PayPal, Samsung Pay, Apple Pay, and so on points to the fact that customers are finding traditional banks inconvenient and untrustworthy. At the same time, people are walking away from physical branches; instead preferring mobile banking for ease and convenience, according to a recent report by Backbase. On top of that, the government continues to encourage Digital Banking, made apparent by the government’s recent directives. These factors may sound like twists and turns that took traditional banks by surprise, yet they point to the refusal to change and innovate in the face of digital disruption. Now that change becomes a matter of life and death for banks, there’s an evident need for a shift in mindset and principle called Design Thinking. This paper looks over the relevance and application of Design Thinking in the banking sector. You will also get to explore how some current banks are applying this method. The promise of Design Thinking for banks proves beyond doubt. Now let’s dive in.
IRJET- Physical Design of Approximate Multiplier for Area and Power Efficiency
This document summarizes research on using statistical measures and machine learning techniques to perform sentiment analysis on product reviews. The researchers collected product review data from online sources and analyzed the sentiment and opinions expressed in the text using support vector machine classifiers. They classified reviews as positive or negative and analyzed key product features that were discussed. The results demonstrated that statistical sentiment analysis can help companies better understand customer feedback and identify popular product versions or attributes. Several related works applying techniques like naive Bayes, lexicon-based methods and aspect-based sentiment analysis on reviews from domains like movies, hotels and restaurants are also summarized.
A Study on Role of Technology in Banking Sector
The purpose of this study is to examine the relationship between new technology implementation in banking sector and customers How they are aware about the technologies and how they are using it Data for this study was collected from the customers of various Banking Sectors under the Reserve Bank of India A simple percentage analysis and pie chart will be done According to questioners 30 samples are collected and interpretations are given Findings suggest that most of the customers of bank using ATM facility So the banks need to give awareness about the E-banking services Lastly, the paper is of few papers that focus on technology development in banking industry Aswin Raj. T | Mr. Bala Nageshwara Rao "A Study on Role of Technology in Banking Sector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18357.pdf
How is AI improving customer experience in Retail?
This document provides an overview of an MBA project examining how AI is improving the customer experience in retail. It includes definitions of AI, a mapping of key AI technologies and applications in retail, an assessment of the applications' benefits and maturity levels, and benchmarks of AI adoption by retailers Alibaba, Walmart and Sephora. The project finds that AI has significant potential to enhance the customer experience, especially in e-commerce, and that retailers' investment priorities are driven by their goals of providing unique experiences or value.
IRJET- Opinion Mining from Customer Reviews for Predicting Competitors
This document discusses a research project that aims to predict competitors of a product by analyzing customer reviews from Amazon. The project involves gathering reviews from Amazon for a particular product, then performing sentiment analysis to classify the reviews as positive or negative. A pie chart is generated to show the percentage of positive and negative reviews. The competitors of the product are then predicted based on the sentiment analysis of the reviews. The document provides background on opinion mining and sentiment analysis, as well as challenges in the field and a review of related literature. It outlines the system flow of the project, which involves extracting reviews from Amazon, preprocessing and analyzing the text, classifying reviews as positive or negative, and finally predicting competitors.
A Study on Factors of E Banking Challenges in India
The customer uses the banking services through online banking, mobile phone banking and automated teller machine these were are called as 'E Banking. This study aimed to describe the customer view about the banking services through E banking. Customer service is also a part of the banking, this paper will tell about the customer satisfaction level about the e banking will explain through the pilot study. Dr. S. Saravanan | M. Dharani "A Study on Factors of E-Banking Challenges in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31147.pdf Paper Url :https://www.ijtsrd.com/management/accounting-and-finance/31147/a-study-on-factors-of-ebanking-challenges-in-india/dr-s-saravanan
Essay On Importance Of Reading Habits. Online assignment writing service.
The document discusses the themes of friendship and war in the novel A Separate Peace by John Knowles. It provides examples of how the friendship between the main characters Gene and Phineas changes and strains as their competitiveness and jealousy increases. Their friendship represents the inner war they experience with each other as Gene feels inferior to Phineas and wants to be more like him. The themes of friendship and inner war are crucial to understanding the story.
GetHelp UI Interface and Interaction Design Case Study
This is a case study I wrote as a handout to accompany a presentation I gave about User Interface and Interaction Design. The presentation slides are at http://www.slideshare.net/suyuen/get-help-ui-and-interaction-design-presentation
A Personalized Assistant Framework for Service Recommendation
The document presents a personalized assistant framework for recommending services to users. The framework constructs a process knowledge base by mining information from online sources. It analyzes user goals to understand their intent and constraints. The framework interacts with users through dialog to obtain more details about their goals. It uses an AdaRank algorithm trained on user history to recommend questions to ask users. A case study evaluated the framework on helping 12 users find services for goals in e-commerce and travel. Results showed the framework outperformed baselines in recommending relevant questions. Analyzing feature importance identified user contexts as most important for performance. A user survey found participants agreed the framework was helpful for achieving goals.
A Two Stage Classification Model for Call Center Purchase Prediction
In call center [1] product recommendation field, call center as an organization between users and telecom operator, doesn’t have permission to access users’ specific information and the detailed products information. Accordingly, rule-based selection method is common used to predict user purchase behavior by the call center. Unfortunately, rule-based approach not only ignores the user’s previous behavior information entirely, and it is difficult to make use of the existing interaction records between users and products. Consequently, it will not get desired results if we just use the basic selection method to predict user purchase behavior directly, because the problem is that the features straightly extracted from the interaction data records are limited. In order to solve the problem above, this paper proposes a two-stage algorithm that based on K-Means Clustering Algorithm [2] and SVM [3, 4] Classification Algorithm. Firstly, we get the potential category information of products by K-Means Clustering Algorithm, and then use SVM Classification Model to predict users purchasing behavior. This two-stage prediction model not only solves the feature shortage problem, but also gives full consideration to the potential features between users and product categories, which can help us to gain significant performance in call center product recommendation field.
Using machine learning to improve a telco self-service mobile application in ...
The use of mobile applications extends to the telecommunication sector, mainly due to COVID-19. Failure to provide it can cause dissatisfaction and result in the removal of the mobile application. Moreover, this leads to lost service opportunities, so paying attention to the mobile application's quality is essential. There has yet to be a study on measuring the service quality of a self-service mobile application in the telecommunication sector using online customer reviews. This study uses sentiment analysis and topic modeling to determine the service quality of a self-service mobile application in the telecommunication sector from reviews on Google Play Store and Apple App Store. This study uses myIndiHome as a case study. The total data obtained from both platforms are 20,452 reviews. Sentiment analysis was performed using Naïve Bayes, support vector machine, and logistic regression, while topic modeling was performed using latent dirichlet allocation. The results show that logistic regression performs better than support vector machine and Naïve Bayes. Meanwhile, topic modeling shows that the positive review data has three topics, including application features, products/services, and application interfaces. Moreover, the negative review data has five topics, including application availability, application feature reliability, application processing speed, bugs, and application reliability.
Ghar Service
This document provides details about the development of a mobile app called "Ghar Service" including:
- An overview of how the app functions and its key features for customers and service providers.
- Wireframes of the app's user interfaces for logging in, selecting services, payments, and an admin dashboard.
- Requirements for developing the app such as hardware, software, technical skills, estimated costs and time to completion.
Chapter1
This document provides an introduction to a study on customer service in the banking industry. It discusses the important role of banks in economic development and how customer satisfaction is critical to a bank's success. The objectives of the study are to understand customer perceptions of service quality, the types of banking services used, and customer satisfaction with services of ICICI Bank in Coimbatore City. The study uses surveys and statistical analysis to evaluate customer opinions and identify relationships between demographic factors and banking preferences and behaviors.
IRJET- Interactive Interview Chatbot
This document describes a proposed chatbot system for conducting job interviews. The chatbot would automate parts of the interview process to reduce costs and overcome issues like human bias or fatigue. It would verify candidates, ask questions to evaluate them, and generate results and rankings to aid in hiring decisions. The chatbot uses natural language processing, text-to-speech, and sentiment analysis techniques. Its goal is to select suitable candidates for jobs in a more efficient manner than traditional human interviews. The system is still being designed and could be improved in the future by expanding its capabilities.
Analysis of Factors Affecting the Customer’s Satisfaction with reference to A...
This is an age of technology. Now, all types of organizations are adopting the modern technology
for providing efficient services to the customers. This study is an attempt to find out the significant factors that
affecting the customer‟s satisfaction in ATM (Automated Teller Machine) service in Dhaka city. The results of
reliability test, factor analysis, and regression analysis focuses that cost of services of ATM, ATM network,
security in transactions of ATM, location of ATM Centers, and maximum withdrawal limit per day are the most
vital factors in customers satisfaction of ATM services. Finally it is evident from the study; overall 62% of the
customers are satisfied by using ATM services in Dhaka city.
IRJET- E-Commerce Recommender System using Data Mining Algorithms
This document summarizes a research paper that proposes improvements to recommender systems for e-commerce businesses. It addresses issues like limited product availability, new customers with no purchase history, and timeliness of data. The authors propose a hybrid algorithm using collaborative filtering to recommend limited products, and a random algorithm to recommend products to new customers based on other customers with similar interests. The system was developed using ASP.NET, C#, and SQL Server. Experimental results showed the approaches helped address cold start situations and provide personalized recommendations. The authors conclude the techniques can improve e-commerce business efficiency and effectiveness.
A Study on Customer Satisfaction of Mobile Wallet Services Provided by Paytm
In today – world, smart phone has become an
essential part of one’s daily life. Mobile users can nowadays
use their Smartphones to make money transactions or
payments by using applications installed in the phone. There
are several mobile wallets which provide these services.
Mobile wallets are digital versions of traditional wallets that
someone would carry in their pocket. They offer payment
services through which the individuals/business can receive
/send money via mobile devices. The present paper throws
light upon the customer satisfaction level towards the
ewallet services provided by paytm. It focusses on the
services provided by Paytm wallet and its satisfaction level.
Customer Satisfaction on Banking Services in Indian Growing Economy Nainital ...
Finance is the energy of every business whether it is
profit making or loss-making business and finance are
required. Economy grows with the developing people of his
country. There is no way to grow the country economy
without financial growing of his resident peoples and banking
sector play a major role to provide financial services. Banks
play a major role in the growth of the economy by providing
their services. Customer satisfaction is essential for the future
growth of both bank and country economy growth also. This
study made to determine customer satisfaction level on
banking services. This study based on primary data. Primary
data collected through questionnaire. The questionnaire
collected from 50 peoples in Kumoun region specially in
Haldwani urban area. All types of people included in sample
collection Students, Employees, Self Employees, and retired
persons. To assess customer satisfaction used the pre-tested
five points Likert's scale test. On the basis of the analysis, it is
concluded that the customer service satisfaction level of banks
is 73.80%.Key Words: Customer satisfaction, Banking
services, Overall satisfaction.
Mobile Banking
This document discusses factors affecting individuals' adoption of mobile banking. It employs the Unified Theory of Acceptance and Use of Technology (UTAUT) model with age and gender as moderating effects to investigate what influences individuals to adopt mobile banking. The findings from this research can help banks design effective marketing campaigns and customize service options for specific customer segments in the context of electronic banking. While much research has been done on internet banking, relative few studies have explored mobile banking adoption, so more research is needed to understand what drives people to adopt mobile banking.
Factors affecting customer loyalty in telecom sector in india
Hello Sir
We are a premier academic writing agency with industry partners in UK, Australia and Middle East and over 15 years of experience. We are looking to establish long-term relationships with industry partners and would love to discuss this opportunity further with you.
Thanks & Regards
visit our website.
www.onlineassignmenthelp.com.au
www.freeassignmenthelp.com
www.btechndassignment.cheapassignmenthelp.co.uk
www.cheapassignmenthelp.com
www.cheapassignmenthelp.co.uk/
http://www.cheapassignmenthelp.net/
Electronic Customer Relationship Management and Consumer Behaviour (A Study o...
The study focuses on electronic customer relationship management and consumer behavior with
special emphasis on diamond bank Plc. Retail financial services in all markets, including emerging markets, are
undergoing major transformation that is driven by change, deregulation and customer sophistication. Electronic
Customer service and specifically online customer relationship management in particular is crucial to attaining
a sustainable competitive advantage, in the market place. The main objective of the study is to examine the effect
of electronic customer relationship management on customer patronage. A survey design was adopted for the
study and one hundred and ninety copies of structured questionnaire were used as primary data collection
instrument which was distributed to customers of diamond bank in the study area. However, the postulated
hypotheses were tested by employing the Pearson product moment Correlation Coefficient (PPMCC) statistical
tool which was facilitated by the statistical packages for social sciences (SPSS). The study however showed that
a significant relationship exists between e-CRM and consumer behavior. Furthermore, it was found that amongst
the dimensions of e-CRM, e-commitment and e-satisfaction impacts more significantly on customer patronage.
The study therefore concludes that Nigerian money deposit banks should increase their electronic platform
strategies since they commensurably impact on their level of customer patronage. However, the study
recommended that the key to efficient performance of Nigeria banking industry is hinged on their ability to
identify, attract, retain and develop their customers better than competitors and could be achieved by improved
e-trust, e-commitment and e-satisfaction. Limitation and suggestion for further studies was given.
ModelBank2015_Part2_Omnichannel
The document provides an overview and case studies of omnichannel banking initiatives at four financial institutions:
1) Central Bancompany's Business Analyzer tool which integrates data across channels to provide personalized customer service.
2) Standard Bank of South Africa's Guided Sales Workbench which provides customized sales prompts to agents across channels.
3) UMB Bank's advisory-based service model which uses data and analytics to engage customers through the most appropriate channel.
4) Westpac's digital platform which offers a consistent customer experience across all digital channels and devices.
Portfolio bahtiyar
The document provides details about a UX portfolio project for an app called Bookley. The summary is:
1) The project involved conducting user research through interviews and personas to understand skills sellers and buyers on the Bookley app. Competitive analysis was also performed to analyze usability.
2) Scenarios, user flows, and information architecture like sitemaps and card sorting were developed to map out the app's information structure and user flows.
3) Low-fidelity wireframes and interactive prototypes were created and tested with stakeholders and users.
4) The project improved the UX and usability of Bookley's 2.0 version through discovery, design, and testing iterations with
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Ericsson LTE Throughput Troubleshooting Techniques.ppt
Ericsson LTE Throughput Troubleshooting Techniques
Más contenido relacionado
Similar a TextMining.pptx
How is AI improving customer experience in Retail?
This document provides an overview of an MBA project examining how AI is improving the customer experience in retail. It includes definitions of AI, a mapping of key AI technologies and applications in retail, an assessment of the applications' benefits and maturity levels, and benchmarks of AI adoption by retailers Alibaba, Walmart and Sephora. The project finds that AI has significant potential to enhance the customer experience, especially in e-commerce, and that retailers' investment priorities are driven by their goals of providing unique experiences or value.
IRJET- Opinion Mining from Customer Reviews for Predicting Competitors
This document discusses a research project that aims to predict competitors of a product by analyzing customer reviews from Amazon. The project involves gathering reviews from Amazon for a particular product, then performing sentiment analysis to classify the reviews as positive or negative. A pie chart is generated to show the percentage of positive and negative reviews. The competitors of the product are then predicted based on the sentiment analysis of the reviews. The document provides background on opinion mining and sentiment analysis, as well as challenges in the field and a review of related literature. It outlines the system flow of the project, which involves extracting reviews from Amazon, preprocessing and analyzing the text, classifying reviews as positive or negative, and finally predicting competitors.
A Study on Factors of E Banking Challenges in India
The customer uses the banking services through online banking, mobile phone banking and automated teller machine these were are called as 'E Banking. This study aimed to describe the customer view about the banking services through E banking. Customer service is also a part of the banking, this paper will tell about the customer satisfaction level about the e banking will explain through the pilot study. Dr. S. Saravanan | M. Dharani "A Study on Factors of E-Banking Challenges in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31147.pdf Paper Url :https://www.ijtsrd.com/management/accounting-and-finance/31147/a-study-on-factors-of-ebanking-challenges-in-india/dr-s-saravanan
Essay On Importance Of Reading Habits. Online assignment writing service.
The document discusses the themes of friendship and war in the novel A Separate Peace by John Knowles. It provides examples of how the friendship between the main characters Gene and Phineas changes and strains as their competitiveness and jealousy increases. Their friendship represents the inner war they experience with each other as Gene feels inferior to Phineas and wants to be more like him. The themes of friendship and inner war are crucial to understanding the story.
GetHelp UI Interface and Interaction Design Case Study
This is a case study I wrote as a handout to accompany a presentation I gave about User Interface and Interaction Design. The presentation slides are at http://www.slideshare.net/suyuen/get-help-ui-and-interaction-design-presentation
A Personalized Assistant Framework for Service Recommendation
The document presents a personalized assistant framework for recommending services to users. The framework constructs a process knowledge base by mining information from online sources. It analyzes user goals to understand their intent and constraints. The framework interacts with users through dialog to obtain more details about their goals. It uses an AdaRank algorithm trained on user history to recommend questions to ask users. A case study evaluated the framework on helping 12 users find services for goals in e-commerce and travel. Results showed the framework outperformed baselines in recommending relevant questions. Analyzing feature importance identified user contexts as most important for performance. A user survey found participants agreed the framework was helpful for achieving goals.
A Two Stage Classification Model for Call Center Purchase Prediction
In call center [1] product recommendation field, call center as an organization between users and telecom operator, doesn’t have permission to access users’ specific information and the detailed products information. Accordingly, rule-based selection method is common used to predict user purchase behavior by the call center. Unfortunately, rule-based approach not only ignores the user’s previous behavior information entirely, and it is difficult to make use of the existing interaction records between users and products. Consequently, it will not get desired results if we just use the basic selection method to predict user purchase behavior directly, because the problem is that the features straightly extracted from the interaction data records are limited. In order to solve the problem above, this paper proposes a two-stage algorithm that based on K-Means Clustering Algorithm [2] and SVM [3, 4] Classification Algorithm. Firstly, we get the potential category information of products by K-Means Clustering Algorithm, and then use SVM Classification Model to predict users purchasing behavior. This two-stage prediction model not only solves the feature shortage problem, but also gives full consideration to the potential features between users and product categories, which can help us to gain significant performance in call center product recommendation field.
Using machine learning to improve a telco self-service mobile application in ...
The use of mobile applications extends to the telecommunication sector, mainly due to COVID-19. Failure to provide it can cause dissatisfaction and result in the removal of the mobile application. Moreover, this leads to lost service opportunities, so paying attention to the mobile application's quality is essential. There has yet to be a study on measuring the service quality of a self-service mobile application in the telecommunication sector using online customer reviews. This study uses sentiment analysis and topic modeling to determine the service quality of a self-service mobile application in the telecommunication sector from reviews on Google Play Store and Apple App Store. This study uses myIndiHome as a case study. The total data obtained from both platforms are 20,452 reviews. Sentiment analysis was performed using Naïve Bayes, support vector machine, and logistic regression, while topic modeling was performed using latent dirichlet allocation. The results show that logistic regression performs better than support vector machine and Naïve Bayes. Meanwhile, topic modeling shows that the positive review data has three topics, including application features, products/services, and application interfaces. Moreover, the negative review data has five topics, including application availability, application feature reliability, application processing speed, bugs, and application reliability.
Ghar Service
This document provides details about the development of a mobile app called "Ghar Service" including:
- An overview of how the app functions and its key features for customers and service providers.
- Wireframes of the app's user interfaces for logging in, selecting services, payments, and an admin dashboard.
- Requirements for developing the app such as hardware, software, technical skills, estimated costs and time to completion.
Chapter1
This document provides an introduction to a study on customer service in the banking industry. It discusses the important role of banks in economic development and how customer satisfaction is critical to a bank's success. The objectives of the study are to understand customer perceptions of service quality, the types of banking services used, and customer satisfaction with services of ICICI Bank in Coimbatore City. The study uses surveys and statistical analysis to evaluate customer opinions and identify relationships between demographic factors and banking preferences and behaviors.
IRJET- Interactive Interview Chatbot
This document describes a proposed chatbot system for conducting job interviews. The chatbot would automate parts of the interview process to reduce costs and overcome issues like human bias or fatigue. It would verify candidates, ask questions to evaluate them, and generate results and rankings to aid in hiring decisions. The chatbot uses natural language processing, text-to-speech, and sentiment analysis techniques. Its goal is to select suitable candidates for jobs in a more efficient manner than traditional human interviews. The system is still being designed and could be improved in the future by expanding its capabilities.
Analysis of Factors Affecting the Customer’s Satisfaction with reference to A...
This is an age of technology. Now, all types of organizations are adopting the modern technology
for providing efficient services to the customers. This study is an attempt to find out the significant factors that
affecting the customer‟s satisfaction in ATM (Automated Teller Machine) service in Dhaka city. The results of
reliability test, factor analysis, and regression analysis focuses that cost of services of ATM, ATM network,
security in transactions of ATM, location of ATM Centers, and maximum withdrawal limit per day are the most
vital factors in customers satisfaction of ATM services. Finally it is evident from the study; overall 62% of the
customers are satisfied by using ATM services in Dhaka city.
IRJET- E-Commerce Recommender System using Data Mining Algorithms
This document summarizes a research paper that proposes improvements to recommender systems for e-commerce businesses. It addresses issues like limited product availability, new customers with no purchase history, and timeliness of data. The authors propose a hybrid algorithm using collaborative filtering to recommend limited products, and a random algorithm to recommend products to new customers based on other customers with similar interests. The system was developed using ASP.NET, C#, and SQL Server. Experimental results showed the approaches helped address cold start situations and provide personalized recommendations. The authors conclude the techniques can improve e-commerce business efficiency and effectiveness.
A Study on Customer Satisfaction of Mobile Wallet Services Provided by Paytm
In today – world, smart phone has become an
essential part of one’s daily life. Mobile users can nowadays
use their Smartphones to make money transactions or
payments by using applications installed in the phone. There
are several mobile wallets which provide these services.
Mobile wallets are digital versions of traditional wallets that
someone would carry in their pocket. They offer payment
services through which the individuals/business can receive
/send money via mobile devices. The present paper throws
light upon the customer satisfaction level towards the
ewallet services provided by paytm. It focusses on the
services provided by Paytm wallet and its satisfaction level.
Customer Satisfaction on Banking Services in Indian Growing Economy Nainital ...
Finance is the energy of every business whether it is
profit making or loss-making business and finance are
required. Economy grows with the developing people of his
country. There is no way to grow the country economy
without financial growing of his resident peoples and banking
sector play a major role to provide financial services. Banks
play a major role in the growth of the economy by providing
their services. Customer satisfaction is essential for the future
growth of both bank and country economy growth also. This
study made to determine customer satisfaction level on
banking services. This study based on primary data. Primary
data collected through questionnaire. The questionnaire
collected from 50 peoples in Kumoun region specially in
Haldwani urban area. All types of people included in sample
collection Students, Employees, Self Employees, and retired
persons. To assess customer satisfaction used the pre-tested
five points Likert's scale test. On the basis of the analysis, it is
concluded that the customer service satisfaction level of banks
is 73.80%.Key Words: Customer satisfaction, Banking
services, Overall satisfaction.
Mobile Banking
This document discusses factors affecting individuals' adoption of mobile banking. It employs the Unified Theory of Acceptance and Use of Technology (UTAUT) model with age and gender as moderating effects to investigate what influences individuals to adopt mobile banking. The findings from this research can help banks design effective marketing campaigns and customize service options for specific customer segments in the context of electronic banking. While much research has been done on internet banking, relative few studies have explored mobile banking adoption, so more research is needed to understand what drives people to adopt mobile banking.
Factors affecting customer loyalty in telecom sector in india
Hello Sir
We are a premier academic writing agency with industry partners in UK, Australia and Middle East and over 15 years of experience. We are looking to establish long-term relationships with industry partners and would love to discuss this opportunity further with you.
Thanks & Regards
visit our website.
www.onlineassignmenthelp.com.au
www.freeassignmenthelp.com
www.btechndassignment.cheapassignmenthelp.co.uk
www.cheapassignmenthelp.com
www.cheapassignmenthelp.co.uk/
http://www.cheapassignmenthelp.net/
Electronic Customer Relationship Management and Consumer Behaviour (A Study o...
The study focuses on electronic customer relationship management and consumer behavior with
special emphasis on diamond bank Plc. Retail financial services in all markets, including emerging markets, are
undergoing major transformation that is driven by change, deregulation and customer sophistication. Electronic
Customer service and specifically online customer relationship management in particular is crucial to attaining
a sustainable competitive advantage, in the market place. The main objective of the study is to examine the effect
of electronic customer relationship management on customer patronage. A survey design was adopted for the
study and one hundred and ninety copies of structured questionnaire were used as primary data collection
instrument which was distributed to customers of diamond bank in the study area. However, the postulated
hypotheses were tested by employing the Pearson product moment Correlation Coefficient (PPMCC) statistical
tool which was facilitated by the statistical packages for social sciences (SPSS). The study however showed that
a significant relationship exists between e-CRM and consumer behavior. Furthermore, it was found that amongst
the dimensions of e-CRM, e-commitment and e-satisfaction impacts more significantly on customer patronage.
The study therefore concludes that Nigerian money deposit banks should increase their electronic platform
strategies since they commensurably impact on their level of customer patronage. However, the study
recommended that the key to efficient performance of Nigeria banking industry is hinged on their ability to
identify, attract, retain and develop their customers better than competitors and could be achieved by improved
e-trust, e-commitment and e-satisfaction. Limitation and suggestion for further studies was given.
ModelBank2015_Part2_Omnichannel
The document provides an overview and case studies of omnichannel banking initiatives at four financial institutions:
1) Central Bancompany's Business Analyzer tool which integrates data across channels to provide personalized customer service.
2) Standard Bank of South Africa's Guided Sales Workbench which provides customized sales prompts to agents across channels.
3) UMB Bank's advisory-based service model which uses data and analytics to engage customers through the most appropriate channel.
4) Westpac's digital platform which offers a consistent customer experience across all digital channels and devices.
Portfolio bahtiyar
The document provides details about a UX portfolio project for an app called Bookley. The summary is:
1) The project involved conducting user research through interviews and personas to understand skills sellers and buyers on the Bookley app. Competitive analysis was also performed to analyze usability.
2) Scenarios, user flows, and information architecture like sitemaps and card sorting were developed to map out the app's information structure and user flows.
3) Low-fidelity wireframes and interactive prototypes were created and tested with stakeholders and users.
4) The project improved the UX and usability of Bookley's 2.0 version through discovery, design, and testing iterations with
Similar a TextMining.pptx (20)
How is AI improving customer experience in Retail?
How is AI improving customer experience in Retail?
IRJET- Opinion Mining from Customer Reviews for Predicting Competitors
IRJET- Opinion Mining from Customer Reviews for Predicting Competitors
A Study on Factors of E Banking Challenges in India
A Study on Factors of E Banking Challenges in India
Essay On Importance Of Reading Habits. Online assignment writing service.
Essay On Importance Of Reading Habits. Online assignment writing service.
GetHelp UI Interface and Interaction Design Case Study
GetHelp UI Interface and Interaction Design Case Study
A Personalized Assistant Framework for Service Recommendation
A Personalized Assistant Framework for Service Recommendation
A Two Stage Classification Model for Call Center Purchase Prediction
A Two Stage Classification Model for Call Center Purchase Prediction
Using machine learning to improve a telco self-service mobile application in ...
Using machine learning to improve a telco self-service mobile application in ...
Analysis of Factors Affecting the Customer’s Satisfaction with reference to A...
Analysis of Factors Affecting the Customer’s Satisfaction with reference to A...
IRJET- E-Commerce Recommender System using Data Mining Algorithms
IRJET- E-Commerce Recommender System using Data Mining Algorithms
A Study on Customer Satisfaction of Mobile Wallet Services Provided by Paytm
A Study on Customer Satisfaction of Mobile Wallet Services Provided by Paytm
Customer Satisfaction on Banking Services in Indian Growing Economy Nainital ...
Customer Satisfaction on Banking Services in Indian Growing Economy Nainital ...
Factors affecting customer loyalty in telecom sector in india
Factors affecting customer loyalty in telecom sector in india
Electronic Customer Relationship Management and Consumer Behaviour (A Study o...
Electronic Customer Relationship Management and Consumer Behaviour (A Study o...
Último
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Ericsson LTE Throughput Troubleshooting Techniques.ppt
Ericsson LTE Throughput Troubleshooting Techniques
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
* Registration is currently open *
Call for Research Papers!!!
Free – Extended Paper will be published as free of cost.
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
July 13 ~ 14, 2024, Virtual Conference
Webpage URL: https://aiad2024.org/index
Submission Deadline: June 22, 2024
Submission System URL:
https://aiad2024.org/submission/index.php
Contact Us:
Here's where you can reach us : aiad@aiad2024.org (or) aiadconference@yahoo.com
WikiCFP URL: http://wikicfp.com/cfp/servlet/event.showcfp?eventid=180509©ownerid=171656
#artificialintelligence #softcomputing #machinelearning #technology #datascience #python #deeplearning #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #engineering #robot #datascientist #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer #promptengineering #generativeai #genai #chatgpt #artificial #intelligence #datamining #networkscommunications #robotics #callforsubmission #submissionsopen #deadline #opencall #virtual #conference
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
FULL STACK PROGRAMMING - Both Front End and Back End
This ppt gives details about Full Stack Programming and its basics.
Impartiality as per ISO /IEC 17025:2017 Standard
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
e qqqqqqqqqqeuwiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiqw dddddddddd cccccccccccccccv s w c r
cdf cb bicbsad ishd d qwkbdwiur e wetwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww w
dddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddfffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffw
uuuuhhhhhhhhhhhhhhhhhhhhhhhhe qiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii iqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc ccccccccccccccccccccccccccccccccccc bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbu uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuum
m
m mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm m i
g i dijsd sjdnsjd ndjajsdnnsa adjdnawddddddddddddd uw
Accident detection system project report.pdf
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
【主营项目】
一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Determination of Equivalent Circuit parameters and performance characteristic...
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Blood finder application project report (1).pdf
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Sri Guru Hargobind Ji - Bandi Chor Guru.pdf
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
Butterfly Valves Manufacturer (LBF Series).pdf
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
Beckhoff Programmable Logic Control Overview Presentation
This presentation is to describe the overview of PLC Beckhoff for beginners
一比一原版(爱大毕业证书)爱荷华大学毕业证如何办理
原版一模一样【微信：741003700 】【(爱大毕业证书)爱荷华大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Último (20)
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Ericsson LTE Throughput Troubleshooting Techniques.ppt
Ericsson LTE Throughput Troubleshooting Techniques.ppt
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
FULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back End
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
Beckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview Presentation
openshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoin
TextMining.pptx
- 1. Analysing Digital Banking Reviews Using Text Mining IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2020 Li Chen Cheng and Legaspi Rhea Shannayne Department of Information and Finance Management National Taipei University of Technology Taipei, Taiwan
- 2. OUTLINE PROBLEM Prioritize features Summary METHODOLOGY How to find Hidden patterns in huge data INTRODUCTION Digital Banking Why text Mining ? 01 02 04 Latent Allocation DLA Association mining rules SOLUTION 03 CONCLUSION 06 2 solution implementation DEMO CODE 05
- 4. 4
- 5. WhyTextMiNING? 01. The feedback provided by the users usually reflect their satisfaction on the application , and Satisfaction has a direct impact on the user's loyalty (Wang et al, 2018). Critical for companies to understand their market
- 6. PROBLEM 02 6
- 7. Unstructured nature Huge number of user reviews Some may not even provide meaningful insights. 7 Researcher stated that the emotional sentiment of the user is only weakly correlated to the app rating(2017).
- 9. Reveal which areas the digital banking application can further optimize for customer satisfaction and retention. Maingoal Consumer reviews ?
- 10. This Paper 10 Goal Identify which features need to be prioritized and improved upon, so they will be able to focus their efforts and better target their strategies to meet customers' expectations. What are users most concerned about? Which features are viewed positively and which are viewed negatively? Research Questions Not only about the satisfaction but also what topic should the Digital bank improve !
- 11. PROPOSED METHODOLOGY 03 11 HOW , WHAT THEY USED TO IMPLEMENT THE SOLUTION
- 12. Topic Modeling 12 How can we label such a huge amount of data if not manually? Problem Analyze a huge amount of data, cluster them into similar groups, and label each group. Clustering documents into topics consists of a cluster of words that often occur together It is based on the assumption that: ● A document is composed of several topics ● A topic is composed of a collection of words
- 13. Topic Modeling : Latent Dirichlet Allocation (LDA) 13 ● Latent Dirichlet Allocation is a probabilistic method for Topic Modelling ● We have to choose the number of topics k that we want to ‘discover’ in our corpus ● The results then find these hidden topics, and give us the words that make up each topic, in the form of a probability distribution over the vocabulary for each topic.
- 14. 14 Comment 1: "I am very happy with the bank's mobile app, it is very convenient and easy to use." Comment 2: "I am very disappointed with the bank's customer service, they are not helpful at all." Comment 3: "I find the bank's interest rates to be very competitive and fair." . . . Topic 3: Interest rates ["mobile app", "convenient", "user-friendly", "easy to use", etc] Topic 1: Mobile app Topic 2: Customer service Topic 1 % Topic 1 % Topic 2
- 15. Paper extracted Topics 15 ["customer", "service", "poor","waste", "phone", "email" ] ● reveals that the usual contact methods of the users are through phone and email. ● reveals that the application's customer service is currently unsatisfactory.
- 16. Association Analysis 16 Technique that is used to uncover the underlying relationships and patterns in a dataset. It is used to identify the items or attributes that are frequently co-occurring or associated in some way.
- 17. 17
- 18. SUMMARY 18 1-First, this research applied LDA to pre-processed text reviews to obtain the relevant topics . 2- Second, keywords are extracted from the text based on their count frequency and labelled into specific digital banking features. 3- The reviews are then divided into two clusters based on the current review rating ("positive" and "negative") and association rule mining is applied to determine the relationship between the above-mentioned features and the given rating. LDA +Association mining uncover the underlying topics present in a corpus find patterns and relationships within the topics identified by LDA.
- 19. Conclusion 05 19
- 20. Thanks! Do you have any questions? 20
Notas del editor
- presented at the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , and it is a conference that focuses on research related to social networks analysis and mining.
- igital banks are banks that operate primarily online, offering banking services to customers through digital channels such as mobile apps, online portals They also often have more flexible account opening processes, such as the ability to open an account entirely online
- With the advent of the internet and social media, information has become more widespread and easier to access.
- Now what are the problem with customer reviews ?
- Generate base lear which proves that the app rating is not an accurate representation of the customers' sentiment.
- obtain valuable knowledge that was initially unrevealed in online reviews.
- based on
- so it’s not only about sentiment analysis , it’s take the reviews and based on them they extract what topic are users concerned about (is the online accounting , the mony ..) and are they satisfied with it or not. okay they will understand the sentiment (the satisfaction ) but what topic should the digal bank improve ?
- obtain valuable knowledge that was initially unrevealed in online reviews.
- https://moj-analytical-services.github.io/NLP-guidance/LDA.html https://aiinarabic.com/latent-dirichlet-allocation-algorithm-using-python/ topic can be described as a collection of words, like [‘ball’, ‘cat’, ‘house’] and [‘airplane’, ‘clouds’], but in practice, what an algorithm does is assign each word in our vocabulary a ‘participation’ value in a given topic. The words with the highest values can be considered as the true participants of a topic.
- https://moj-analytical-services.github.io/NLP-guidance/LDA.html https://aiinarabic.com/latent-dirichlet-allocation-algorithm-using-python/ words that present each topic
- https://www.linkedin.com/pulse/topic-modeling-using-latent-dirichlet-allocation-saket-khare-frm Each topic would be represented by a set of words that are likely to be semantically related. represented by words such as "mobile app", "convenient", "user-friendly", "easy to use", etc. The model assigns a probability to each word within a topic and also assigns a probability to each topic in the document.
- LDA to, and then use association rule mining to find patterns and relationships within the topics identified by LDA.