ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

PUBLIC HATE SPEECH DETECTION USING MACHINE LEARNING: A REVIEW

Abstract

Abstract: Social media platforms include thousands of people worldwide, not millions. Interactions on social networking platforms such as Twitter, readily accessible, have an enormous effect on people. Today, the negative effect on everyday life is unacceptable. Nowadays, Twitter is one of the most extravagant social networking sites of our day and the more prominent micro blogging networks are now seen as a weapon to express unethical, irrational views, the media. The most common and important media is the useful knowledge. The tweets for the people are grouped into six categories in this proposed job. The tweets are either classified into one of these categories or into non-shaming tweets. Observation suggests that lions share definitely would change the individual in question because of the multitude of interested customers who make comments on a particular occasion. In reality, it is not the non-shaming devotee who monitors the increase faster but in twitter shaming.Keywords: Tweet Classification, user behaviour, remove dishonouring, public dishonouring

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