Yelp Sentiment Analysis

Sentiment Analysis of words from 156,602 yelp reviews.

Important

The original dataset had to be compressed due to its size. Before you execute the program, unzip the yelp_academic_dataset_review_small.json.zip file

Purpose

Find out which words are most commonly used in positive and negative reviews

How to interpret results

• Words that are most commonly used in positive reviews will have higher rating. The maximum is 5.
• Words that are most commonly used in negative reviews will have lower rating. The minimum is 1.

Techniques, tools, and packages used

• Python
• NLTK (natural language processing) module
• Lemmatization
• CSV module
• JSON module