Sentiment-Prediction-and-Analysis-of-Biden-Administration

This project's goal is to collect tweets data from Twitter API and then analyze sentiments. In a high level overview, the steps are highlighted below.

1. Data was collected from Twitter API using an EC2 and kinesis firehose instance.
   
2. Sentiments were generated based on the collected tweet data using PySpark.
   
3. The data was further cleaned using SQL Athena.
   
4. Dashboard was developed to support the sentiments analyses, which could be found in the screenshot within one of the folders.

Each folder represents each major step in the project pipeline.