Analyses the sentiment involved in text reviews of movies to scraped off of IMDB to measure the overall satisfaction.
Developed a python web scraper to fetch user reviews for a movie and a machine learning classification algorithm (naive bayes) to analyze the sentiment involved in text to provide an overview of user emotion after watching a movie.
Dataset scraped from IMDB movie reviews.
Input takes in a movie’s name, and outputs the percentage of positive, negative and neutral reviews.
