Paper Details

Detection of Hate Speech in Social Media Using Text Classification Technique

Vol. 8, Jan-Dec 2022 | Page: 7-12

Yashika Gupta
Apeejay School, Pitampura

Received: 17-11-2021, Accepted: 11-01-2022, Published Online: 30-01-2022

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With the developed fame of online media sites like Twitter and Instagram, it has become clearer for clients of the spots to stay mysterious while participating in disdain discourse against different people groups and networks. Subsequently, to check such disdain speech on the web, the discovery of the equivalent has acquired much more consideration. Since decreasing the developing measure of disdain discourse online by manual strategies isn't doable, location and control using Natural Language Processing and Deep Learning strategies have acquired fame. In this paper, we assess the collection of a consecutive model with the Universal Sentence Encoder against the Roberta technique on various datasets for disdain discourse location. The aftereffect of this study has shown a superb execution, generally speaking from utilizing a Sequential model with a multilingual USE layer.


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