Title

LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Classification

Authors

Saugata Bose, University of Wollongong
Guoxin Su, University of Wollongong

Publication Name

Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023

Abstract

Introducing LexiFuse+: a semi-supervised model merging lexicon features, BERT transfer learning, and one-class classifiers to detect anomalous content in short texts. It tackles challenges of informal text and imbalanced datasets, excelling in hate speech detection. By leveraging one-class classifiers in a fully deep fine-tuned network trained with unlabeled data, LexiFuse+ surpasses base models.

Open Access Status

This publication is not available as open access