Political Tweet Sentiment Analyasis

NLP Project Team 21

What is the project?

To build a website for ranking politicians according to the sentiment analysis of tweets mentioning them on twitter. We then rank the politicians according to this calculated sentiment and volume of mentions in the last 6 months.

Steps in the project

Sourcing Data

• Source real-time tweets from twitter mentioning politicians.

• Source last 6 months of tweets mentioning politicians.

Build the Model

• Build a NLP model that can accurately score the sentiment of the tweet given as input.

Ranking

• Find an appropriate ranking algorithm and rank the politicians according to -
  • 6-month Volume of mentions
  • Sentiment of all tweets over 6 months
  • Recent sentiment from live tweets collected.

Website

• Build a website to display ranking and visualizations of sentiment for each person.

To replicate this project on your computer

1. Make a new directory.
2. cd into the directory via cd <directory_name>
3. run these commands to initialize the project:

git init -b main

git remote add origin "git@github.com:Varun487/NLP_Live_Tweet_Sentiment_Analysis.git"

git pull origin main

Project members

All members are from Semester 6 Pes University EC Campus

1. Varun Seshu - PES2201800074
2. Hritik Shanbhag - PES2201800082
3. Shashwath S Kumar - PES2201800623

Inspiration

This project has been inspired by the website sentdex.com by Harrison Kinsley.