Another Twitter Sentiment Analysis with Python - Part 5

Attached Jupyter Notebook is the part 5 of the Twitter Sentiment Analysis project I implemented as a capstone project for General Assembly's Data Science Immersive course.

Accompanying blog posts can be found from my Medium account: https://medium.com/@rickykim78

Below implementations can be found in the attached notebook.

Tf-Idf Vectorizer

experiment with

• varying vocabulary size
• n-grams

Models Comparison

various models has been tested with the features extracted from Tf-Idf vectorizer

Lexical Approach

sentiment classifier using custom-defined positivity metric based on lexical approach