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GitHub / DolbyUUU / offensive-language-and-toxic-content-detection-with-visualization

Detection of Offensive Language and Toxic Content in Tweets Using Word Embeddings, the OLID and SOLID Datasets, and LIME Visualizations for Enhanced Interpretability.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DolbyUUU%2Foffensive-language-and-toxic-content-detection-with-visualization

Stars: 11
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 3.16 MB
Dependencies parsed at: Pending

Created at: 5 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago

Topics: fasttext, fasttext-embeddings, hate-speech-detection, nlp, offensive-language-detection, social-media-analytics, text-classification, toxic-content-moderation, tweet-analysis

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