Negativity and Semantic Change - Will Hamilton, Stanford University

Negativity and Semantic Change - Will Hamilton, Stanford University

Alan Turing Institute via YouTube Direct link

Intro

1 of 24

1 of 24

Intro

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Negativity and Semantic Change - Will Hamilton, Stanford University

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  1. 1 Intro
  2. 2 The linguistic positivity/negativity bias
  3. 3 Negative language is more "differentiated"
  4. 4 Negative language is more complex
  5. 5 Psychological factors
  6. 6 Diachronic negative differentiation
  7. 7 A quantitative approach to semantic change
  8. 8 Word embeddings (the basic idea)
  9. 9 Diachronic word embeddings
  10. 10 Different embedding approaches
  11. 11 Sanity check: Do the embeddings capture semantic change?
  12. 12 Which embeddings work best? (3)
  13. 13 Statistical models semantic change: basic trends
  14. 14 Quantifying the association between negativity and semantic change
  15. 15 Accounting for shifting sentiment
  16. 16 Experimental setup and dataset
  17. 17 Preliminary results
  18. 18 Next steps
  19. 19 Sentiment analysis: Some background
  20. 20 Off-the-shelf sentiment analysis
  21. 21 Hypothesis
  22. 22 Lexicons
  23. 23 A case-study in "hate" (examples)
  24. 24 Summary of part 2

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