Projects

Tracking Profanity in Online Discussion

Skills
Python Data Science

-Scraped and Collected Data from APIs of online news sites for detecting profanity and insults in forums -Programmed in Python to match profanity using NLP tools and analyzed most predictable features of profanity using Support Vector Machines. -Correctly verified hypothesis of organized forums and Facebook containing less profanity as compared to minimally regulated independent news site forums such as New York Times and Wall Street Journal