NLP: Twitter Sentiment Analysis

About this course

In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). The process could be done automatically without having humans manually review thousands of tweets and customer reviews. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What you will learn

• Create a pipeline to remove stop-words, punctuation, and perform tokenization
• Understand the theory and intuition behind Naive Bayes classifiers
• Train a Naive Bayes Classifier and assess its performance