The main purpose of this project is to compare tweets from Brian Kemp and Gavin Newsom using text mining. The goals of this project is to find popular topics betwen the two govenors.
Text Mining Topic Modeling Twitter Web Scraping
Python
The tweets from each govenor were web scrapped. The text was tokenized to find descriptive statistics, and machine learning models were performed on the clean data. LDA, LSA, and NMF were used for topic modeling.