PluralSight Building Sentiment Analysis Systems in Python FreeCourseWeb

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FreeCourseWeb

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Torrent Galaxy

Language

English

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Size

212.7 MB

Added

2024-10-24 18:27 (2 years ago)

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Files

1. Get Bonus Downloads Here.url183 bytes
2. 1 -Course Overview.mp42.7 MB
3. 2 -Introducing Sentiment Analysis.mp47.3 MB
4. 3 -Two Case Studies.mp49.6 MB
5. 4 -Polarity Detection for Sentiment Analysis.mp47.0 MB
6. 5 -Setting up a Binary Classification Problem.mp44.9 MB
7. 6 -Rule-based and ML-based Binary Classifiers.mp49.7 MB
8. 10 -Making It (Slightly More) Real.mp48.2 MB
9. 11 -Building Is Hard, Using Is Easy.mp44.5 MB
10. 7 -Starting Simple, Starting Simplistic.mp410.6 MB
11. 8 -Limitations of a Simplistic Approach.mp43.9 MB
12. 9 -A More Realistic Rule-based Algorithm.mp47.0 MB
13. 12 -Introducing VADER.mp410.5 MB
14. 13 -Punctuation, Negation, Emphasis, and Contrast.mp47.9 MB
15. 14 -Classifying Movie Reviews with VADER.mp416.4 MB
16. 15 -Introducing Sentiwordnet.mp48.8 MB
17. 16 -Classifying Movie Reviews with Sentiwordnet.mp412.9 MB
18. 17 -Exploring ML-based Approaches.mp45.9 MB
19. 18 -The Intuition Behind Bayes Theorem.mp46.9 MB
20. 19 -Naive Bayes for Classification Problems.mp49.1 MB
21. 20 -Applying Bayes Theorem.mp48.5 MB
22. 21 -Support Vector Machines.mp47.1 MB
23. 22 -The Importance of Feature Extraction.mp48.9 MB
24. 23 -An Outline of Implementing Naive Bayes.mp47.7 MB
25. 24 -Data Transformation for nltk.mp47.5 MB
26. 25 -Python Implementation of Naive Bayes.mp411.3 MB
27. 26 -Comparing VADER, Sentiwordnet, and Naive Bayes.mp45.5 MB
28. Bonus Resources.txt386 bytes
29. building-sentiment-analysis-systems-python.zip2.3 MB

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