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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Aggression In Social Media: Detection Using Machine Learning Algorithms

[Full Text]

 

AUTHOR(S)

Chayan Paul, Deepak Sahoo, Pronami Bora

 

KEYWORDS

NLP, Sentiment Analysis, Text Processing, Text Analysis, Social Network Analysis, Aggression in Social Networks

 

ABSTRACT

Social media have found a remarkable jump in the number of users and their popularity in the last decade. The users of these social media platforms are found to express their opinion, views on different diverse topics. The discussion may be on a simple opinion regarding a particular product or opinion for a social issue. It might also be someone’s political view or view on some religious issue. At some point of time these discussions may enter into controversial topics and users may engage in some very provocative discussion in the social media platforms. For some considerable amount of time these issues have become common in social media. Users become aggressive at time in their opinion expressed in their posts. The aggressions in social media sometimes lead to disturbances in the social equilibrium. Many a time the situation goes so wrong that it disturbs the law and order situation may also lead to loss of life and public properties. Thus detection and control of these aggressions in social media websites is an important issue. In this paper we endeavor to make a systematic survey of various research works done in the area of detection of aggression in social media sites.

 

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