Naive Bayes for Sentiment Analysis

This tutorial explain what Naive Bayes is and how to use that for sentiment analysis. ▬ Chapters ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 0:00 - Text Example for Sentiment Analysis 0:32 - Conditional Probability and Naive Bayes 1:58 - Formula Statement of Naive Bayes for Sentiment Analysis 3:31 - Definitions of Prior, Likelihood, Posterior 4:26 - How to calculate priors in Naive Bayes for Sentiment Analysis 5:28 - How to calculate likelihood in Naive Bayes for Sentiment Analysis 7:25 - How to create frequency table for Naive Bayes for Sentiment Analysis 8:47 - Laplaace Smoothing in Naive Bayes for Sentiment Analysis 9:45 - Determine if the test data is positive or negative ▬ File Links ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Slides of Naive Bayes for Sentiment Analysis: https://github.com/tidydatayt/naive_bayes_sentiment_analysis/blob/main/Na%C3%AFve%20Bayes%20for%20Sentiment%20Analysis.pdf Notes for Naive Bayes for Sentiment Analysis: https://github.com/tidydatayt/naive_bayes_sentiment_analysis/blob/main/Na%C3%AFve%20Bayes%20for%20Sentiment%20Analysis_Notes.pdf ▬ Disclaimer ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 1. The PDF slides, notes, and this video tutorial provided are for informational purposes only. Although the author has made efforts to ensure the quality of the slides, notes, and video tutorial, their accuracy or completeness is not guaranteed. It is advisable to cross-verify information with other sources and exercise your own judgment when making decisions. 2. This PDF slides and notes are intended for personal use only. Therefore, please refrain from distributing it through any means.