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mh.MUHAMMAD HUSNAIN

IEEE ICAI 2021 · pp. 22–27

A Novel Preprocessing Technique for Toxic Comment Classification

Muhammad Husnain, Adnan Khalid & Numan Shafi

Research summary

Investigates text preprocessing for toxic comment classification, building on earlier experiments with binary and multilabel toxicity prediction.

Published architecture or figure for Better inputs for toxic-comment models — Figure excerpt from the linked publication. Labels and colours are preserved.

Approach and contribution

Part of my early work in sentiment analysis and NLP, using Python, scikit-learn and NLTK.

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This page summarises the public publication record. The original paper defines the method, evaluation protocol and scope of its findings.

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