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PluralSight Building Sentiment Analysis Systems in Python FreeCourseWeb

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Added Thursday 24th October 2024 06:27:47 PM (2 years ago)
Size212.7 MB
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Torrent Files (29)
FilenameSize
Get Bonus Downloads Here.url183 bytes
1 -Course Overview.mp42.7 MB
2 -Introducing Sentiment Analysis.mp47.3 MB
3 -Two Case Studies.mp49.6 MB
4 -Polarity Detection for Sentiment Analysis.mp47.0 MB
5 -Setting up a Binary Classification Problem.mp44.9 MB
6 -Rule-based and ML-based Binary Classifiers.mp49.7 MB
10 -Making It (Slightly More) Real.mp48.2 MB
11 -Building Is Hard, Using Is Easy.mp44.5 MB
7 -Starting Simple, Starting Simplistic.mp410.6 MB
8 -Limitations of a Simplistic Approach.mp43.9 MB
9 -A More Realistic Rule-based Algorithm.mp47.0 MB
12 -Introducing VADER.mp410.5 MB
13 -Punctuation, Negation, Emphasis, and Contrast.mp47.9 MB
14 -Classifying Movie Reviews with VADER.mp416.4 MB
15 -Introducing Sentiwordnet.mp48.8 MB
16 -Classifying Movie Reviews with Sentiwordnet.mp412.9 MB
17 -Exploring ML-based Approaches.mp45.9 MB
18 -The Intuition Behind Bayes Theorem.mp46.9 MB
19 -Naive Bayes for Classification Problems.mp49.1 MB
20 -Applying Bayes Theorem.mp48.5 MB
21 -Support Vector Machines.mp47.1 MB
22 -The Importance of Feature Extraction.mp48.9 MB
23 -An Outline of Implementing Naive Bayes.mp47.7 MB
24 -Data Transformation for nltk.mp47.5 MB
25 -Python Implementation of Naive Bayes.mp411.3 MB
26 -Comparing VADER, Sentiwordnet, and Naive Bayes.mp45.5 MB
Bonus Resources.txt386 bytes
building-sentiment-analysis-systems-python.zip2.3 MB
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