Project Overview
For CS 4300, we were tasked with creating a search engine that used ad-hoc querying and a dataset we we found or scraped ourselves.
My group decided to scrape tweets from politicians, and match the user with politicians who have tweeted similar political beliefs to the query.
We used SVD and sentiment analysis as an attempt to match the user's sentiment, rather than an arbitrary distance based search engine.
Technologies Used
- Python
- Information Retrieval Methods (SVD, cosine similarity)
- Flask
- VADER sentiment analysis
Example Input/Output
