Using Machine Learning to identify hate speech and offensive language on Twitter.

Author

Mayara Lorens, CCT College Dublin
Thayene Lorens, CCT College Dublin

Supervisor

Muhammad Iqbal

Programme

BSc (Hons) in Computing in IT

Subject

Computer Science

Abstract

The central theme of this project is the application of Machine Learning to identify both hate speech and offensive language on Twitter. We chose this topic for its ethical relevance in the technological environment and its business potential. This topic raises concerns such as cyberbullying and the existence of a hostile environment for users. For this reason, we sought to implement four different models to create an automated system capable of identifying and categorizing whether specific content is offensive, non-offensive or neutral.

Date of Award

5-2024

Full Publication Date

5-2024

Access Rights

open access

Document Type

Dissertation

Resource Type

bachelor thesis

Recommended Citation

Lorens, Mayara and Lorens, Thayene, "Using Machine Learning to identify hate speech and offensive language on Twitter." (2024). BSc (Hons) in Computing in IT. 1.
https://arc.cct.ie/bs_honscompit/1