Date of Submission

Spring 2018

Academic Programs and Concentrations

Computer Science; Experimental Humanities

Project Advisor 1

Sven Anderson

Abstract/Artist's Statement

The purpose of this project is to identify subtweets. The Oxford English Dictionary defines "subtweet" as a "[Twitter post] that refers to a particular user without directly mentioning them, typically as a form of furtive mockery or criticism." This paper details a process for gathering a labeled ground truth dataset, training a classifier, and creating a Twitter bot which interacts with subtweets in real time. The Naive Bayes classifier trained in this project classifies tweets as subtweets and non-subtweets with an average F1 score of 72%.

Open Access Agreement

Open Access

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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