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Introduction to language
technology on social media
Ali Hürriyetoğlu
May 9, 2023
Utrecht University
What will we learn?
• What is social media?
• What is language technology?
• What do you do on social media?
• How does language technology help you on social media?
• How does language technology harm you on social media?
Outline
• Social media (SM)
• Language Technology (LT)
• Privacy
• Ethics
• Limitations
• Do it yourself!
Social media
• User-generated content
• Official writing rules do not apply
• Any character can be used
• Network of users, hashtags, etc.
• Real-time communication
• Two-way
• Global reach
• How many social media platforms do you use?
• Any niche social media platform you may suggest us?
• How many hours a day do you spend on social media?
Language technology
https://www.linkedin.com/pulse/information-extraction-natural-language-processing-shubham-shankar/
Language technology - TC
• Text classification
• Language identification
• Spam detection
• Sentiment analysis, etc.
https://doi.org/10.1016/j.neucom.2018.07.044
Language technology - IE
• Information extraction
• Named Entity recognition
• Event extraction
• Semantic role labeling, etc.
https://techblog.smc.it/en/2020-12-11/nlp-ner
Language technology - LG
• Language generation
• Machine translation
• Text summarization
• Text simplification
• Question answering
https://devopedia.org/text-summarization
Demo time
• Please go and try
• https://demo.allennlp.org/reading-comprehension/bidaf-elmo
• Pick and try a demo from https://allenai.org/demos
• https://huggingface.co/facebook/bart-large-mnli
• Pick and try a model from https://huggingface.co (use the search box on top-
left)
• What do you observe?
• Pros
• Cons
You must know this!
• Language technology shapes your
worldview! It determines
• The content you see
• The follow recommendations you get
• How people find you
• The job recommendations you see
• How recruiters find you
• …
• Be aware of it!
https://ourworldindata.org/artificial-intelligence
Language technology – User level tasks
• User-based analyses
• Ban content/accounts if they are offensive, fake, misinformation, etc.
• Detect bots
• Detect trust level: should I trust this user?
• Recommend relevant users
Language technology – Post level tasks
• Post/message level analyses
• Convert text to standard language
• Hide a comment if it does not contribute to the discussion
• Show relevant posts
• Show similar questions on Stackoverflow
• Detect hate speech, cyberbullying, and threats
• Detect fake or deceptive posts
• Detect sarcasm
• Detect fiction
• Summarize a set of posts
• Simplify or paraphrase a post for specific groups
• Translate between languages
• Detect trends
Language technology - Domains
• Humanitarian purposes
• What do people need?
• Identify relevant information in the scope of a disaster
• Health
• Supporting mental health, Suicide prevention
• Early detection of epidemics/pandemics
• Criminal
• Open-source intelligence, OSINT
• Improving public safety
• Politic behavior
• What do people want?
• Voting preference detection
• Consumer behavior
• What do people buy?
• What do people think about a product?
• What is the effect of a marketing campaign?
• Economics, finances
• Predicting stock market trends
• Linguistics
• Identify endangered languages
• Is the content appropriate for kids? Is a simplification or summarization needed and at what level?
• How else would you like to analyze text on social media?
Privacy
• Full anonymization is almost impossible
• Your content is utilized (or not) for creating
language technology, do you consent?
• Pros?
• Cons?
https://ai.googleblog.com/2020/12/privacy-considerations-in-
large.html
Ethics
• The development of social media
platforms and many language
technologies are mainly revenue-
oriented
• Companies do (may) not care how they
affect you.
• Check https://unqover.apps.allenai.org
• You may be in a filter bubble.
Limitations
• Although the text is everywhere, technologies utilized for social
media are increasingly multimodal: network, image, image+text, etc.
• The performance of language technology tools may significantly
decrease on a new text
• Meaning determined by the time, user, etc.
• LT may not work well on content from and on minority groups
Do it yourself
• Spacy: https://spacy.io
• Transformers: https://huggingface.co/docs/transformers/index
• Scikit-learn: https://scikit-
learn.org/stable/tutorial/text_analytics/working_with_text_data.html
• NLTK: https://www.nltk.org
• Corpus tools: https://corpus.tools
• Finnish tools: https://www.kielipankki.fi/tools/
• What is social media?
• What is language technology?
• What do you do on social media?
• How does language technology help you on social media?
• How does language technology harm you on social media?
Further …
• Zaghouani, W., & City, E. Language Technologies for Social Media.
INTEGRATING ICTIN SOCIETY, 11. URL:
http://infoz.ffzg.hr/infuture/2017/images/papers/1-
02_Zaghouani,_Language_Technologies_for_Social_Media.pdf
• https://ourworldindata.org/rise-of-social-media
• Tools and Demos
• Sense clustering over time: https://www.inf.uni-
hamburg.de/en/inst/ab/lt/resources/demos/scot.html
• Various demos: https://www.inf.uni-
hamburg.de/en/inst/ab/lt/resources/demos.html
• Thanks for your time!
• What questions do you have?
• Contact: ali.hurriyetoglu@gmail.com
@hurrial

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applications-of-lang-tech.pdf

  • 1. Introduction to language technology on social media Ali Hürriyetoğlu May 9, 2023 Utrecht University
  • 2. What will we learn? • What is social media? • What is language technology? • What do you do on social media? • How does language technology help you on social media? • How does language technology harm you on social media?
  • 3. Outline • Social media (SM) • Language Technology (LT) • Privacy • Ethics • Limitations • Do it yourself!
  • 4. Social media • User-generated content • Official writing rules do not apply • Any character can be used • Network of users, hashtags, etc. • Real-time communication • Two-way • Global reach
  • 5. • How many social media platforms do you use? • Any niche social media platform you may suggest us? • How many hours a day do you spend on social media?
  • 6.
  • 7.
  • 9. Language technology - TC • Text classification • Language identification • Spam detection • Sentiment analysis, etc. https://doi.org/10.1016/j.neucom.2018.07.044
  • 10. Language technology - IE • Information extraction • Named Entity recognition • Event extraction • Semantic role labeling, etc. https://techblog.smc.it/en/2020-12-11/nlp-ner
  • 11. Language technology - LG • Language generation • Machine translation • Text summarization • Text simplification • Question answering https://devopedia.org/text-summarization
  • 12. Demo time • Please go and try • https://demo.allennlp.org/reading-comprehension/bidaf-elmo • Pick and try a demo from https://allenai.org/demos • https://huggingface.co/facebook/bart-large-mnli • Pick and try a model from https://huggingface.co (use the search box on top- left) • What do you observe? • Pros • Cons
  • 13. You must know this! • Language technology shapes your worldview! It determines • The content you see • The follow recommendations you get • How people find you • The job recommendations you see • How recruiters find you • … • Be aware of it! https://ourworldindata.org/artificial-intelligence
  • 14. Language technology – User level tasks • User-based analyses • Ban content/accounts if they are offensive, fake, misinformation, etc. • Detect bots • Detect trust level: should I trust this user? • Recommend relevant users
  • 15. Language technology – Post level tasks • Post/message level analyses • Convert text to standard language • Hide a comment if it does not contribute to the discussion • Show relevant posts • Show similar questions on Stackoverflow • Detect hate speech, cyberbullying, and threats • Detect fake or deceptive posts • Detect sarcasm • Detect fiction • Summarize a set of posts • Simplify or paraphrase a post for specific groups • Translate between languages • Detect trends
  • 16. Language technology - Domains • Humanitarian purposes • What do people need? • Identify relevant information in the scope of a disaster • Health • Supporting mental health, Suicide prevention • Early detection of epidemics/pandemics • Criminal • Open-source intelligence, OSINT • Improving public safety • Politic behavior • What do people want? • Voting preference detection • Consumer behavior • What do people buy? • What do people think about a product? • What is the effect of a marketing campaign? • Economics, finances • Predicting stock market trends • Linguistics • Identify endangered languages • Is the content appropriate for kids? Is a simplification or summarization needed and at what level?
  • 17. • How else would you like to analyze text on social media?
  • 18. Privacy • Full anonymization is almost impossible • Your content is utilized (or not) for creating language technology, do you consent? • Pros? • Cons? https://ai.googleblog.com/2020/12/privacy-considerations-in- large.html
  • 19. Ethics • The development of social media platforms and many language technologies are mainly revenue- oriented • Companies do (may) not care how they affect you. • Check https://unqover.apps.allenai.org • You may be in a filter bubble.
  • 20. Limitations • Although the text is everywhere, technologies utilized for social media are increasingly multimodal: network, image, image+text, etc. • The performance of language technology tools may significantly decrease on a new text • Meaning determined by the time, user, etc. • LT may not work well on content from and on minority groups
  • 21. Do it yourself • Spacy: https://spacy.io • Transformers: https://huggingface.co/docs/transformers/index • Scikit-learn: https://scikit- learn.org/stable/tutorial/text_analytics/working_with_text_data.html • NLTK: https://www.nltk.org • Corpus tools: https://corpus.tools • Finnish tools: https://www.kielipankki.fi/tools/
  • 22. • What is social media? • What is language technology? • What do you do on social media? • How does language technology help you on social media? • How does language technology harm you on social media?
  • 23. Further … • Zaghouani, W., & City, E. Language Technologies for Social Media. INTEGRATING ICTIN SOCIETY, 11. URL: http://infoz.ffzg.hr/infuture/2017/images/papers/1- 02_Zaghouani,_Language_Technologies_for_Social_Media.pdf • https://ourworldindata.org/rise-of-social-media • Tools and Demos • Sense clustering over time: https://www.inf.uni- hamburg.de/en/inst/ab/lt/resources/demos/scot.html • Various demos: https://www.inf.uni- hamburg.de/en/inst/ab/lt/resources/demos.html
  • 24. • Thanks for your time! • What questions do you have? • Contact: ali.hurriyetoglu@gmail.com @hurrial