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Identifying and rating humor and offensiveness of texts

Background

Project Team: William Avery, Satya Boddu, Sai Koukuntla, Jin Lee, Lindia Tjuatja, and Logan Winger

Github Repo: https://github.com/satyaboddu26/EE460J-FinalProject [1]

Sentiment analysis is a widely studied technique within the field of natural language processing, specifically for identifying positive and negative emotion. However, more nuanced expressions of emotion, such as humor, pose a challenge due to their range and tendency towards idiosyncrasy. Humorous statements can vary widely in quality, from plays on words and tacky one-liners, to situational irony and “dark” or offensive humor.

Our project focuses on multiple aspects of sentiment analysis with humor. The dataset and main goals for our…

Jin Lee

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