Machine learning-enabled techniques for speech categorization
Abstract
In the modern era trolling, abusive language, violation of the right to freedom of speech in the name of free speech, and bigotry, to incite hatred and disharmony among people or groups on various grounds are ubiquitous on social platforms. Therefore, this work not only categorizes comments on such platforms into hostile speech but also identifies religion-oriented, offensive, violence-provocating, and normal speeches. In this way, our proposed algorithm uses traditional yet simple word-matching criteria, with complexity O(n) to categorize speech into five classes, by identifying the words in comments identical to ...
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