SI507_FinalProject

Repo for final project

I plan to conduct an analysis of President Donald Trump's twitter usage. I will run a basic sentiment analysis using an open source sentiment analyzer package, such as TextBlob. Similarly, I will analyze who Trump most frequently mentions in his tweets. Time permitting, I will also see if there is any basic correlation between Trump's tweets retweet count and their sentiment score.

Part 0: Get Data from Twitter

• [ ] Review Twitter API documentation
• [ ] Set up cache system
• [ ] Write code to fetch Trump's tweets (from cache or from API)
• [ ] Parse relevant data points from returned json structure

Part 1: Build Class

• [ ] Design class to process twitter responses
• [ ] Focus on returning tweet content, date, retweet count, and mentions, along with sentiment score and sentiment determination

Part 2: Migrate to SQL

• [ ] Build code to create database structure for 2 tables (twitter data and sentiment scores)
• [ ] Populate tables based on data updated from class

Part 3: Visualize Data

• [ ] Use plotly or other package to visualize Trump's sentiment scores over time
• [ ] Use plotly to visualize top mentions from his tweets

Part 4: Test methods

• [ ] Write 15+ test methods to ensure code works properly!