Studying and Analyzing the Evolution of a User’s Answering Style over a period of time on Quora and developing a model to predict it. This project was taken up as a term project in Natural Language Processing coursework.

Quora is a question-and-answer website where questions are asked, answered, edited and organized by its community of users. Quora aggregates questions and answers to topics. Users can collaborate by editing questions and suggesting edits to other users' answers.

• Presentation Slides
• Detailed Report

• Each feature has a separate module. There are 5 features in total - Humor, Satire, Detailed, Inappropriate, and Readability.
• To run individual modules, go to the corresponding folder and run their python scripts.

• WebApp is a great visualization tool of our innovation. It has been built using Python Flask Framework and [D3 Library of Javascript] (https://d3js.org/).
• Copy the WebApp folder to the mentioned location using cp Quoranalysis/WepApp /var/www/html/ and then run python run.py. This will run the python server which will serve the requests.