Papers by James Alexander Hughes

1 papers
Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis (2024.lrec-main)

Copied to clipboard

Challenge: Phobias are characterized by an intense and irrational fear of specific objects, situations, or activities despite there being no real risk or only a minor threat involved.
Approach: They propose to use a dataset of 811,569 English tweets from user timelines spanning 102 phobia subtypes over six months to classify users into 65 specific phobias.
Outcome: The proposed dataset includes 47,614 self-diagnosed phobia users and a high f1 score for binary classification and multi-class classification.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations