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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.

Attention-mechanism
Fine-tuning
Datebase
Exicon-based-weighted-feature-extraction-lwfe-
Ne-class-classifier
Re-trained-language-model-plm-
Short-text
Transfer-learning