Presidential Debate Twitter Sentiment Analysis Using Python and NLTK

This course teaches learners how to perform sentiment analysis on Twitter data related to the Presidential Debate using Python and NLTK. By setting up Twitter Dev, querying tweets, and utilizing NLTK and TextBlob, participants will calculate sentiment polarity and subjectivity. The course aims to equip learners with the skills to analyze sentiments for various applications such as market research, customer feedback, and financial markets analysis. The teaching method involves practical demonstrations and coding exercises. This course is intended for individuals interested in natural language processing, sentiment analysis, and Python programming.