Natural Language Processing - Deciphering the Message Within the Message Stock Selection

Natural Language Processing - Deciphering the Message Within the Message Stock Selection

Open Data Science via YouTube Direct link

Correlations

19 of 20

19 of 20

Correlations

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Classroom Contents

Natural Language Processing - Deciphering the Message Within the Message Stock Selection

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  1. 1 Intro
  2. 2 The ABCs of NLP
  3. 3 Motivation - Why is NLP Important?
  4. 4 NLP General Steps
  5. 5 Stock Selection Insights Using Earnings Call Transcripts
  6. 6 Motivation - Historical Performance Comparison of Strategies
  7. 7 Earnings Call - Introduction
  8. 8 Text Preprocessing prior to Signal Construction
  9. 9 Two Main Categories of Signals
  10. 10 Construction of Sentiment-Based Signals: Sentiment Level
  11. 11 Construction of Sentiment-Based Signals (continued): Change in Level and Change in Trend
  12. 12 Construction of Behavioral-Based Signals
  13. 13 Description of Empirical Results
  14. 14 Sentiment-Based Signals Empirical Results
  15. 15 Sentiment Based Signals - Entire Transcripts
  16. 16 Controlling for Risk and Alpha Signals
  17. 17 Natural Tilts of Sentiment-Based Signals
  18. 18 Results after control for risk and alpha factors
  19. 19 Correlations
  20. 20 Takeaways - Empirical Results

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