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PluralSight Building Sentiment Analysis Systems in Python FreeCourseWeb

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Language: English
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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 1 -Course Overview.mp4 2.7 MB
  3. 2 -Introducing Sentiment Analysis.mp4 7.3 MB
  4. 3 -Two Case Studies.mp4 9.6 MB
  5. 4 -Polarity Detection for Sentiment Analysis.mp4 7.0 MB
  6. 5 -Setting up a Binary Classification Problem.mp4 4.9 MB
  7. 6 -Rule-based and ML-based Binary Classifiers.mp4 9.7 MB
  8. 10 -Making It (Slightly More) Real.mp4 8.2 MB
  9. 11 -Building Is Hard, Using Is Easy.mp4 4.5 MB
  10. 7 -Starting Simple, Starting Simplistic.mp4 10.6 MB
  11. 8 -Limitations of a Simplistic Approach.mp4 3.9 MB
  12. 9 -A More Realistic Rule-based Algorithm.mp4 7.0 MB
  13. 12 -Introducing VADER.mp4 10.5 MB
  14. 13 -Punctuation, Negation, Emphasis, and Contrast.mp4 7.9 MB
  15. 14 -Classifying Movie Reviews with VADER.mp4 16.4 MB
  16. 15 -Introducing Sentiwordnet.mp4 8.8 MB
  17. 16 -Classifying Movie Reviews with Sentiwordnet.mp4 12.9 MB
  18. 17 -Exploring ML-based Approaches.mp4 5.9 MB
  19. 18 -The Intuition Behind Bayes Theorem.mp4 6.9 MB
  20. 19 -Naive Bayes for Classification Problems.mp4 9.1 MB
  21. 20 -Applying Bayes Theorem.mp4 8.5 MB
  22. 21 -Support Vector Machines.mp4 7.1 MB
  23. 22 -The Importance of Feature Extraction.mp4 8.9 MB
  24. 23 -An Outline of Implementing Naive Bayes.mp4 7.7 MB
  25. 24 -Data Transformation for nltk.mp4 7.5 MB
  26. 25 -Python Implementation of Naive Bayes.mp4 11.3 MB
  27. 26 -Comparing VADER, Sentiwordnet, and Naive Bayes.mp4 5.5 MB
  28. Bonus Resources.txt 386 bytes
  29. building-sentiment-analysis-systems-python.zip 2.3 MB

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