Queering Nlp: A Non-Heteronormative Approach To Quantifying And Investigating Sentiment Bias Against Lgbtq+ Identities In Word Embeddings

Authors

Bang Van Nguyen, The College of WoosterFollow

Advisor

Bhowmik, Kowshik

Department

Computer Science

Recommended Citation

Nguyen, Bang Van, "Queering Nlp: A Non-Heteronormative Approach To Quantifying And Investigating Sentiment Bias Against Lgbtq+ Identities In Word Embeddings" (2022). Senior Independent Study Theses. Paper 9790.
https://openworks.wooster.edu/independentstudy/9790

Disciplines

Artificial Intelligence and Robotics | Computational Linguistics | Science and Technology Studies | Social Justice

Publication Date

2022

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis