SlideShare una empresa de Scribd logo

Extraction of Socio-Semantic Data from Chat Conversations in Collaborative Learning Communities

•Descargar como PPS, PDF•
•
Traian Rebedea
Traian Rebedea

EC-TEL 2008

Educación
1 de 30
Extraction of Socio-Semantic Data from Chat Conversations in Collaborative Learning Communities Traian Rebedea 1 , Stefan Trausan-Matu 1,2 , Costin Chiru 1 1 “Politehnica” University of Bucharest, Department of Computer Science and Engineering 2 Research Institute for Artificial Intelligence of the Romanian Academy {traian.rebedea, stefan.trausan, costin.chiru} @ cs.pub.ro
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Context ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Socio-cultural Paradigm ,[object Object],[object Object],[object Object]
Bakhtin’s Dialogism ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Voices in Chats ,[object Object],[object Object],[object Object],[object Object]
Discussion Threads
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Foreword ,[object Object],[object Object],[object Object],[object Object],[object Object]
Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Detecting the Topics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Detecting the Topics (2)
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Overview
Assessing the Competencies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Value of an Utterance
Computing the Competencies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Competencies’ Graphics ,[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discovering Implicit Voices ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discovering Implicit Voices (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conversation Graph
Utterances’ Strength ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Visual Representation
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You!

Recomendados

thesis_palogiannidi
thesis_palogiannidithesis_palogiannidi
thesis_palogiannidiElisavet Palogiannidi
 
C5 giruba beulah
C5 giruba beulahC5 giruba beulah
C5 giruba beulahJasline Presilda
 
Semantic Patterns for Sentiment Analysis of Twitter
Semantic Patterns for Sentiment Analysis of TwitterSemantic Patterns for Sentiment Analysis of Twitter
Semantic Patterns for Sentiment Analysis of TwitterKnowledge Media Institute - The Open University
 
MSc Presentation
MSc PresentationMSc Presentation
MSc PresentationMarlon Etheredge
 
dialogue act modeling for automatic tagging and recognition
dialogue act modeling for automatic tagging and recognition dialogue act modeling for automatic tagging and recognition
dialogue act modeling for automatic tagging and recognitionVipul Munot
 
Natural Language Processing: L01 introduction
Natural Language Processing: L01 introductionNatural Language Processing: L01 introduction
Natural Language Processing: L01 introductionananth
 
NLP Bootcamp 2018 : Representation Learning of text for NLP
NLP Bootcamp 2018 : Representation Learning of text for NLPNLP Bootcamp 2018 : Representation Learning of text for NLP
NLP Bootcamp 2018 : Representation Learning of text for NLPAnuj Gupta
 
Networks and Natural Language Processing
Networks and Natural Language ProcessingNetworks and Natural Language Processing
Networks and Natural Language ProcessingAhmed Magdy Ezzeldin, MSc.
 

Recomendados

thesis_palogiannidi
thesis_palogiannidithesis_palogiannidi
thesis_palogiannidiElisavet Palogiannidi
 
C5 giruba beulah
C5 giruba beulahC5 giruba beulah
C5 giruba beulahJasline Presilda
 
Semantic Patterns for Sentiment Analysis of Twitter
Semantic Patterns for Sentiment Analysis of TwitterSemantic Patterns for Sentiment Analysis of Twitter
Semantic Patterns for Sentiment Analysis of TwitterKnowledge Media Institute - The Open University
 
MSc Presentation
MSc PresentationMSc Presentation
MSc PresentationMarlon Etheredge
 
dialogue act modeling for automatic tagging and recognition
dialogue act modeling for automatic tagging and recognition dialogue act modeling for automatic tagging and recognition
dialogue act modeling for automatic tagging and recognitionVipul Munot
 
Natural Language Processing: L01 introduction
Natural Language Processing: L01 introductionNatural Language Processing: L01 introduction
Natural Language Processing: L01 introductionananth
 
NLP Bootcamp 2018 : Representation Learning of text for NLP
NLP Bootcamp 2018 : Representation Learning of text for NLPNLP Bootcamp 2018 : Representation Learning of text for NLP
NLP Bootcamp 2018 : Representation Learning of text for NLPAnuj Gupta
 
Networks and Natural Language Processing
Networks and Natural Language ProcessingNetworks and Natural Language Processing
Networks and Natural Language ProcessingAhmed Magdy Ezzeldin, MSc.
 
Aaai 2006 Pedersen
Aaai 2006 PedersenAaai 2006 Pedersen
Aaai 2006 PedersenUniversity of Minnesota, Duluth
 
Natural Language Processing
Natural Language ProcessingNatural Language Processing
Natural Language Processingpunedevscom
 
Sanskrit in Natural Language Processing
Sanskrit in Natural Language ProcessingSanskrit in Natural Language Processing
Sanskrit in Natural Language ProcessingHitesh Joshi
 
NLP Bootcamp
NLP BootcampNLP Bootcamp
NLP BootcampAnuj Gupta
 
Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4DigiGurukul
 
1 l5eng
1 l5eng1 l5eng
1 l5engNoobie312
 
Anthiil Inside workshop on NLP
Anthiil Inside workshop on NLPAnthiil Inside workshop on NLP
Anthiil Inside workshop on NLPSatyam Saxena
 
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...Knowledge Media Institute - The Open University
 
Can Deep Learning solve the Sentiment Analysis Problem
Can Deep Learning solve the Sentiment Analysis ProblemCan Deep Learning solve the Sentiment Analysis Problem
Can Deep Learning solve the Sentiment Analysis ProblemMark Cieliebak
 
Improvement in Quality of Speech associated with Braille codes - A Review
Improvement in Quality of Speech associated with Braille codes - A ReviewImprovement in Quality of Speech associated with Braille codes - A Review
Improvement in Quality of Speech associated with Braille codes - A Reviewinscit2006
 
Taking into account communities of practice’s specific vocabularies in inform...
Taking into account communities of practice’s specific vocabularies in inform...Taking into account communities of practice’s specific vocabularies in inform...
Taking into account communities of practice’s specific vocabularies in inform...inscit2006
 
Engineering Intelligent NLP Applications Using Deep Learning – Part 2
Engineering Intelligent NLP Applications Using Deep Learning – Part 2 Engineering Intelligent NLP Applications Using Deep Learning – Part 2
Engineering Intelligent NLP Applications Using Deep Learning – Part 2 Saurabh Kaushik
 
Natural Language Processing: Parsing
Natural Language Processing: ParsingNatural Language Processing: Parsing
Natural Language Processing: ParsingRushdi Shams
 
Engineering Intelligent NLP Applications Using Deep Learning – Part 1
Engineering Intelligent NLP Applications Using Deep Learning – Part 1Engineering Intelligent NLP Applications Using Deep Learning – Part 1
Engineering Intelligent NLP Applications Using Deep Learning – Part 1Saurabh Kaushik
 
SemEval - Aspect Based Sentiment Analysis
SemEval - Aspect Based Sentiment AnalysisSemEval - Aspect Based Sentiment Analysis
SemEval - Aspect Based Sentiment AnalysisAditya Joshi
 
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...Traian Rebedea
 
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...Association for Computational Linguistics
 
Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...
Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...
Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...Knowledge Media Institute - The Open University
 
Alleviating Data Sparsity for Twitter Sentiment Analysis
Alleviating Data Sparsity for Twitter Sentiment AnalysisAlleviating Data Sparsity for Twitter Sentiment Analysis
Alleviating Data Sparsity for Twitter Sentiment AnalysisKnowledge Media Institute - The Open University
 
Sarcasm Detection: Achilles Heel of sentiment analysis
Sarcasm Detection: Achilles Heel of sentiment analysisSarcasm Detection: Achilles Heel of sentiment analysis
Sarcasm Detection: Achilles Heel of sentiment analysisAnuj Gupta
 
PhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
PhD Thesis - Influence of Repetitions on Discourse and Semantic AnalysisPhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
PhD Thesis - Influence of Repetitions on Discourse and Semantic AnalysisUniversity Politehnica Bucharest
 
A tool for discourse visualization and analysis
A tool for discourse visualization and analysisA tool for discourse visualization and analysis
A tool for discourse visualization and analysisUniversity Politehnica Bucharest
 

Más contenido relacionado

La actualidad más candente

Natural Language Processing
Natural Language ProcessingNatural Language Processing
Natural Language Processingpunedevscom
 
Sanskrit in Natural Language Processing
Sanskrit in Natural Language ProcessingSanskrit in Natural Language Processing
Sanskrit in Natural Language ProcessingHitesh Joshi
 
Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4DigiGurukul
 
Anthiil Inside workshop on NLP
Anthiil Inside workshop on NLPAnthiil Inside workshop on NLP
Anthiil Inside workshop on NLPSatyam Saxena
 
Can Deep Learning solve the Sentiment Analysis Problem
Can Deep Learning solve the Sentiment Analysis ProblemCan Deep Learning solve the Sentiment Analysis Problem
Can Deep Learning solve the Sentiment Analysis ProblemMark Cieliebak
 
Improvement in Quality of Speech associated with Braille codes - A Review
Improvement in Quality of Speech associated with Braille codes - A ReviewImprovement in Quality of Speech associated with Braille codes - A Review
Improvement in Quality of Speech associated with Braille codes - A Reviewinscit2006
 
Taking into account communities of practice’s specific vocabularies in inform...
Taking into account communities of practice’s specific vocabularies in inform...Taking into account communities of practice’s specific vocabularies in inform...
Taking into account communities of practice’s specific vocabularies in inform...inscit2006
 
Engineering Intelligent NLP Applications Using Deep Learning – Part 2
Engineering Intelligent NLP Applications Using Deep Learning – Part 2 Engineering Intelligent NLP Applications Using Deep Learning – Part 2
Engineering Intelligent NLP Applications Using Deep Learning – Part 2 Saurabh Kaushik
 
Natural Language Processing: Parsing
Natural Language Processing: ParsingNatural Language Processing: Parsing
Natural Language Processing: ParsingRushdi Shams
 
Engineering Intelligent NLP Applications Using Deep Learning – Part 1
Engineering Intelligent NLP Applications Using Deep Learning – Part 1Engineering Intelligent NLP Applications Using Deep Learning – Part 1
Engineering Intelligent NLP Applications Using Deep Learning – Part 1Saurabh Kaushik
 
SemEval - Aspect Based Sentiment Analysis
SemEval - Aspect Based Sentiment AnalysisSemEval - Aspect Based Sentiment Analysis
SemEval - Aspect Based Sentiment AnalysisAditya Joshi
 
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...Traian Rebedea
 
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...Association for Computational Linguistics
 
Sarcasm Detection: Achilles Heel of sentiment analysis
Sarcasm Detection: Achilles Heel of sentiment analysisSarcasm Detection: Achilles Heel of sentiment analysis
Sarcasm Detection: Achilles Heel of sentiment analysisAnuj Gupta
 

La actualidad más candente (20)

Aaai 2006 Pedersen
Aaai 2006 PedersenAaai 2006 Pedersen
Aaai 2006 Pedersen
 
Natural Language Processing
Natural Language ProcessingNatural Language Processing
Natural Language Processing
 
Sanskrit in Natural Language Processing
Sanskrit in Natural Language ProcessingSanskrit in Natural Language Processing
Sanskrit in Natural Language Processing
 
NLP Bootcamp
NLP BootcampNLP Bootcamp
NLP Bootcamp
 
Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4Artificial Intelligence Notes Unit 4
Artificial Intelligence Notes Unit 4
 
1 l5eng
1 l5eng1 l5eng
1 l5eng
 
Anthiil Inside workshop on NLP
Anthiil Inside workshop on NLPAnthiil Inside workshop on NLP
Anthiil Inside workshop on NLP
 
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...
SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twi...
 
Can Deep Learning solve the Sentiment Analysis Problem
Can Deep Learning solve the Sentiment Analysis ProblemCan Deep Learning solve the Sentiment Analysis Problem
Can Deep Learning solve the Sentiment Analysis Problem
 
Improvement in Quality of Speech associated with Braille codes - A Review
Improvement in Quality of Speech associated with Braille codes - A ReviewImprovement in Quality of Speech associated with Braille codes - A Review
Improvement in Quality of Speech associated with Braille codes - A Review
 
Taking into account communities of practice’s specific vocabularies in inform...
Taking into account communities of practice’s specific vocabularies in inform...Taking into account communities of practice’s specific vocabularies in inform...
Taking into account communities of practice’s specific vocabularies in inform...
 
Engineering Intelligent NLP Applications Using Deep Learning – Part 2
Engineering Intelligent NLP Applications Using Deep Learning – Part 2 Engineering Intelligent NLP Applications Using Deep Learning – Part 2
Engineering Intelligent NLP Applications Using Deep Learning – Part 2
 
Natural Language Processing: Parsing
Natural Language Processing: ParsingNatural Language Processing: Parsing
Natural Language Processing: Parsing
 
Engineering Intelligent NLP Applications Using Deep Learning – Part 1
Engineering Intelligent NLP Applications Using Deep Learning – Part 1Engineering Intelligent NLP Applications Using Deep Learning – Part 1
Engineering Intelligent NLP Applications Using Deep Learning – Part 1
 
SemEval - Aspect Based Sentiment Analysis
SemEval - Aspect Based Sentiment AnalysisSemEval - Aspect Based Sentiment Analysis
SemEval - Aspect Based Sentiment Analysis
 
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
PhD Defense: Computer-Based Support and Feedback for Collaborative Chat Conve...
 
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
Abigail See - 2017 - Get To The Point: Summarization with Pointer-Generator N...
 
Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...
Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...
Adapting Sentiment Lexicons using Contextual Semantics for Sentiment Analysis...
 
Alleviating Data Sparsity for Twitter Sentiment Analysis
Alleviating Data Sparsity for Twitter Sentiment AnalysisAlleviating Data Sparsity for Twitter Sentiment Analysis
Alleviating Data Sparsity for Twitter Sentiment Analysis
 
Sarcasm Detection: Achilles Heel of sentiment analysis
Sarcasm Detection: Achilles Heel of sentiment analysisSarcasm Detection: Achilles Heel of sentiment analysis
Sarcasm Detection: Achilles Heel of sentiment analysis
 

Similar a Extraction of Socio-Semantic Data from Chat Conversations in Collaborative Learning Communities

PhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
PhD Thesis - Influence of Repetitions on Discourse and Semantic AnalysisPhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
PhD Thesis - Influence of Repetitions on Discourse and Semantic AnalysisUniversity Politehnica Bucharest
 
The Grammar of User Experience
The Grammar of User ExperienceThe Grammar of User Experience
The Grammar of User ExperienceStefano Bussolon
 
Step by step stylistic analysis
Step by step stylistic analysisStep by step stylistic analysis
Step by step stylistic analysisWaldorf Oberberg
 
Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...
Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...
Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...Traian Rebedea
 
Themes identification techniques in qualitative research
Themes identification techniques in qualitative researchThemes identification techniques in qualitative research
Themes identification techniques in qualitative researchGhulam Qambar
 
Unsupervised Software-Specific Morphological Forms Inference from Informal Di...
Unsupervised Software-Specific Morphological Forms Inference from Informal Di...Unsupervised Software-Specific Morphological Forms Inference from Informal Di...
Unsupervised Software-Specific Morphological Forms Inference from Informal Di...Chunyang Chen
 
16. Anne Schumann (USAAR) Terminology and Ontologies 1
16. Anne Schumann (USAAR) Terminology and Ontologies 116. Anne Schumann (USAAR) Terminology and Ontologies 1
16. Anne Schumann (USAAR) Terminology and Ontologies 1RIILP
 
Discourse Analysis - Project Instructions
Discourse Analysis - Project InstructionsDiscourse Analysis - Project Instructions
Discourse Analysis - Project InstructionsAshwag Al Hamid
 
Discourse Analysis for Social Research
Discourse Analysis for Social ResearchDiscourse Analysis for Social Research
Discourse Analysis for Social ResearchDominik Lukes
 
Chi2006 trustworkshop
Chi2006 trustworkshopChi2006 trustworkshop
Chi2006 trustworkshopJohn Thomas
 
NON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUS
NON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUSNON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUS
NON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUSSabadel
 
Skeptical Discourse Analysis for non-Linguists
Skeptical Discourse Analysis for non-LinguistsSkeptical Discourse Analysis for non-Linguists
Skeptical Discourse Analysis for non-LinguistsDominik Lukes
 
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...kevig
 
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...kevig
 
Online Discussion Groups - 2019 update
Online Discussion Groups - 2019 updateOnline Discussion Groups - 2019 update
Online Discussion Groups - 2019 updateLeonie Sloman
 

Similar a Extraction of Socio-Semantic Data from Chat Conversations in Collaborative Learning Communities (20)

PhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
PhD Thesis - Influence of Repetitions on Discourse and Semantic AnalysisPhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
PhD Thesis - Influence of Repetitions on Discourse and Semantic Analysis
 
A tool for discourse visualization and analysis
A tool for discourse visualization and analysisA tool for discourse visualization and analysis
A tool for discourse visualization and analysis
 
Detecting discourse creativity in chat conversations
Detecting discourse creativity in chat conversationsDetecting discourse creativity in chat conversations
Detecting discourse creativity in chat conversations
 
The Grammar of User Experience
The Grammar of User ExperienceThe Grammar of User Experience
The Grammar of User Experience
 
Step by step stylistic analysis
Step by step stylistic analysisStep by step stylistic analysis
Step by step stylistic analysis
 
Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...
Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...
Automatic assessment of collaborative chat conversations with PolyCAFe - EC-T...
 
Themes identification techniques in qualitative research
Themes identification techniques in qualitative researchThemes identification techniques in qualitative research
Themes identification techniques in qualitative research
 
NLP
NLPNLP
NLP
 
Unsupervised Software-Specific Morphological Forms Inference from Informal Di...
Unsupervised Software-Specific Morphological Forms Inference from Informal Di...Unsupervised Software-Specific Morphological Forms Inference from Informal Di...
Unsupervised Software-Specific Morphological Forms Inference from Informal Di...
 
16. Anne Schumann (USAAR) Terminology and Ontologies 1
16. Anne Schumann (USAAR) Terminology and Ontologies 116. Anne Schumann (USAAR) Terminology and Ontologies 1
16. Anne Schumann (USAAR) Terminology and Ontologies 1
 
Discourse Analysis - Project Instructions
Discourse Analysis - Project InstructionsDiscourse Analysis - Project Instructions
Discourse Analysis - Project Instructions
 
Discourse Analysis for Social Research
Discourse Analysis for Social ResearchDiscourse Analysis for Social Research
Discourse Analysis for Social Research
 
Chi2006 trustworkshop
Chi2006 trustworkshopChi2006 trustworkshop
Chi2006 trustworkshop
 
NON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUS
NON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUSNON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUS
NON-TECHNICAL COMPUTER THESAURUS VERSUS SPECIALIZED COMPUTER THESAURUS
 
Skeptical Discourse Analysis for non-Linguists
Skeptical Discourse Analysis for non-LinguistsSkeptical Discourse Analysis for non-Linguists
Skeptical Discourse Analysis for non-Linguists
 
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
 
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
Comparative Analysis of Existing and a Novel Approach to Topic Detection on C...
 
Ontology learning
Ontology learningOntology learning
Ontology learning
 
Online Discussion Groups - 2019 update
Online Discussion Groups - 2019 updateOnline Discussion Groups - 2019 update
Online Discussion Groups - 2019 update
 
discourse analysis
discourse analysisdiscourse analysis
discourse analysis
 

Más de Traian Rebedea

An Evolution of Deep Learning Models for AI2 Reasoning Challenge
An Evolution of Deep Learning Models for AI2 Reasoning ChallengeAn Evolution of Deep Learning Models for AI2 Reasoning Challenge
An Evolution of Deep Learning Models for AI2 Reasoning ChallengeTraian Rebedea
 
AI @ Wholi - Bucharest.AI Meetup #5
AI @ Wholi - Bucharest.AI Meetup #5AI @ Wholi - Bucharest.AI Meetup #5
AI @ Wholi - Bucharest.AI Meetup #5Traian Rebedea
 
Deep neural networks for matching online social networking profiles
Deep neural networks for matching online social networking profilesDeep neural networks for matching online social networking profiles
Deep neural networks for matching online social networking profilesTraian Rebedea
 
Intro to Deep Learning for Question Answering
Intro to Deep Learning for Question AnsweringIntro to Deep Learning for Question Answering
Intro to Deep Learning for Question AnsweringTraian Rebedea
 
How useful are semantic links for the detection of implicit references in csc...
How useful are semantic links for the detection of implicit references in csc...How useful are semantic links for the detection of implicit references in csc...
How useful are semantic links for the detection of implicit references in csc...Traian Rebedea
 
A focused crawler for romanian words discovery
A focused crawler for romanian words discoveryA focused crawler for romanian words discovery
A focused crawler for romanian words discoveryTraian Rebedea
 
Detecting and Describing Historical Periods in a Large Corpora
Detecting and Describing Historical Periods in a Large CorporaDetecting and Describing Historical Periods in a Large Corpora
Detecting and Describing Historical Periods in a Large CorporaTraian Rebedea
 
Practical machine learning - Part 1
Practical machine learning - Part 1Practical machine learning - Part 1
Practical machine learning - Part 1Traian Rebedea
 
Propunere de dezvoltare a carierei universitare
Propunere de dezvoltare a carierei universitarePropunere de dezvoltare a carierei universitare
Propunere de dezvoltare a carierei universitareTraian Rebedea
 
Automatic plagiarism detection system for specialized corpora
Automatic plagiarism detection system for specialized corporaAutomatic plagiarism detection system for specialized corpora
Automatic plagiarism detection system for specialized corporaTraian Rebedea
 
Relevance based ranking of video comments on YouTube
Relevance based ranking of video comments on YouTubeRelevance based ranking of video comments on YouTube
Relevance based ranking of video comments on YouTubeTraian Rebedea
 
Opinion mining for social media and news items in Romanian
Opinion mining for social media and news items in RomanianOpinion mining for social media and news items in Romanian
Opinion mining for social media and news items in RomanianTraian Rebedea
 
Importanța algoritmilor pentru problemele de la interviuri
Importanța algoritmilor pentru problemele de la interviuriImportanța algoritmilor pentru problemele de la interviuri
Importanța algoritmilor pentru problemele de la interviuriTraian Rebedea
 
Web services for supporting the interactions of learners in the social web - ...
Web services for supporting the interactions of learners in the social web - ...Web services for supporting the interactions of learners in the social web - ...
Web services for supporting the interactions of learners in the social web - ...Traian Rebedea
 
Conclusions and Recommendations of the Romanian ICT RTD Survey
Conclusions and Recommendations of the Romanian ICT RTD SurveyConclusions and Recommendations of the Romanian ICT RTD Survey
Conclusions and Recommendations of the Romanian ICT RTD SurveyTraian Rebedea
 
Istoria Web-ului - part 2 - tentativ How to Web 2009
Istoria Web-ului - part 2 - tentativ How to Web 2009Istoria Web-ului - part 2 - tentativ How to Web 2009
Istoria Web-ului - part 2 - tentativ How to Web 2009Traian Rebedea
 
Istoria Web-ului - part 1 (2) - tentativ How to Web 2009
Istoria Web-ului - part 1 (2) - tentativ How to Web 2009Istoria Web-ului - part 1 (2) - tentativ How to Web 2009
Istoria Web-ului - part 1 (2) - tentativ How to Web 2009Traian Rebedea
 
Istoria Web-ului - part 1 - tentativ How to Web 2009
Istoria Web-ului - part 1 - tentativ How to Web 2009Istoria Web-ului - part 1 - tentativ How to Web 2009
Istoria Web-ului - part 1 - tentativ How to Web 2009Traian Rebedea
 
Algorithm Design and Complexity - Course 12
Algorithm Design and Complexity - Course 12Algorithm Design and Complexity - Course 12
Algorithm Design and Complexity - Course 12Traian Rebedea
 

Más de Traian Rebedea (20)

An Evolution of Deep Learning Models for AI2 Reasoning Challenge
An Evolution of Deep Learning Models for AI2 Reasoning ChallengeAn Evolution of Deep Learning Models for AI2 Reasoning Challenge
An Evolution of Deep Learning Models for AI2 Reasoning Challenge
 
AI @ Wholi - Bucharest.AI Meetup #5
AI @ Wholi - Bucharest.AI Meetup #5AI @ Wholi - Bucharest.AI Meetup #5
AI @ Wholi - Bucharest.AI Meetup #5
 
Deep neural networks for matching online social networking profiles
Deep neural networks for matching online social networking profilesDeep neural networks for matching online social networking profiles
Deep neural networks for matching online social networking profiles
 
Intro to Deep Learning for Question Answering
Intro to Deep Learning for Question AnsweringIntro to Deep Learning for Question Answering
Intro to Deep Learning for Question Answering
 
What is word2vec?
What is word2vec?What is word2vec?
What is word2vec?
 
How useful are semantic links for the detection of implicit references in csc...
How useful are semantic links for the detection of implicit references in csc...How useful are semantic links for the detection of implicit references in csc...
How useful are semantic links for the detection of implicit references in csc...
 
A focused crawler for romanian words discovery
A focused crawler for romanian words discoveryA focused crawler for romanian words discovery
A focused crawler for romanian words discovery
 
Detecting and Describing Historical Periods in a Large Corpora
Detecting and Describing Historical Periods in a Large CorporaDetecting and Describing Historical Periods in a Large Corpora
Detecting and Describing Historical Periods in a Large Corpora
 
Practical machine learning - Part 1
Practical machine learning - Part 1Practical machine learning - Part 1
Practical machine learning - Part 1
 
Propunere de dezvoltare a carierei universitare
Propunere de dezvoltare a carierei universitarePropunere de dezvoltare a carierei universitare
Propunere de dezvoltare a carierei universitare
 
Automatic plagiarism detection system for specialized corpora
Automatic plagiarism detection system for specialized corporaAutomatic plagiarism detection system for specialized corpora
Automatic plagiarism detection system for specialized corpora
 
Relevance based ranking of video comments on YouTube
Relevance based ranking of video comments on YouTubeRelevance based ranking of video comments on YouTube
Relevance based ranking of video comments on YouTube
 
Opinion mining for social media and news items in Romanian
Opinion mining for social media and news items in RomanianOpinion mining for social media and news items in Romanian
Opinion mining for social media and news items in Romanian
 
Importanța algoritmilor pentru problemele de la interviuri
Importanța algoritmilor pentru problemele de la interviuriImportanța algoritmilor pentru problemele de la interviuri
Importanța algoritmilor pentru problemele de la interviuri
 
Web services for supporting the interactions of learners in the social web - ...
Web services for supporting the interactions of learners in the social web - ...Web services for supporting the interactions of learners in the social web - ...
Web services for supporting the interactions of learners in the social web - ...
 
Conclusions and Recommendations of the Romanian ICT RTD Survey
Conclusions and Recommendations of the Romanian ICT RTD SurveyConclusions and Recommendations of the Romanian ICT RTD Survey
Conclusions and Recommendations of the Romanian ICT RTD Survey
 
Istoria Web-ului - part 2 - tentativ How to Web 2009
Istoria Web-ului - part 2 - tentativ How to Web 2009Istoria Web-ului - part 2 - tentativ How to Web 2009
Istoria Web-ului - part 2 - tentativ How to Web 2009
 
Istoria Web-ului - part 1 (2) - tentativ How to Web 2009
Istoria Web-ului - part 1 (2) - tentativ How to Web 2009Istoria Web-ului - part 1 (2) - tentativ How to Web 2009
Istoria Web-ului - part 1 (2) - tentativ How to Web 2009
 
Istoria Web-ului - part 1 - tentativ How to Web 2009
Istoria Web-ului - part 1 - tentativ How to Web 2009Istoria Web-ului - part 1 - tentativ How to Web 2009
Istoria Web-ului - part 1 - tentativ How to Web 2009
 
Algorithm Design and Complexity - Course 12
Algorithm Design and Complexity - Course 12Algorithm Design and Complexity - Course 12
Algorithm Design and Complexity - Course 12
 

Último

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingTeacherCyreneCayanan
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 

Último (20)

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 

Extraction of Socio-Semantic Data from Chat Conversations in Collaborative Learning Communities

  • 1. Extraction of Socio-Semantic Data from Chat Conversations in Collaborative Learning Communities Traian Rebedea 1 , Stefan Trausan-Matu 1,2 , Costin Chiru 1 1 “Politehnica” University of Bucharest, Department of Computer Science and Engineering 2 Research Institute for Artificial Intelligence of the Romanian Academy {traian.rebedea, stefan.trausan, costin.chiru} @ cs.pub.ro
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 11.
  • 12.
  • 13.
  • 14.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 28.
  • 29.