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Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs

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Bibliographic Details
Published in:Journal of Data Mining and Digital Humanities
Format: Online Article RSS Article
Published: 2025
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container_title Journal of Data Mining and Digital Humanities
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:32244
institution FRELIP
journal_source_facet Journal of Data Mining and Digital Humanities
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
Data Mining
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Data Mining
Technology & Engineering — Computing
Technology & Engineering
Data Mining
Technology & Engineering — Computing
Technology & Engineering
subject_facet Data Mining
Technology & Engineering — Computing
Technology & Engineering
title Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
title_auth Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
title_full Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
title_fullStr Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
title_full_unstemmed Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
title_short Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
title_sort efficient toxicity detection in gaming chats: a comparative study of embeddings, fine-tuned transformers and llms
topic Data Mining
Technology & Engineering — Computing
Technology & Engineering
url https://doi.org/10.46298/jdmdh.16280