Violence Detection in Social Media-Review

dc.contributor.author	Dikwatta, U
dc.contributor.author	Fernando, T. G. I.
dc.date.accessioned	2022-09-09T06:08:37Z
dc.date.available	2022-09-09T06:08:37Z
dc.date.issued	2019
dc.identifier.citation	Dikwatta, U., Fernando, T. G. I. (2019). Violence Detection in Social Media-Review. Dikwatta and Fernando/Vidyodaya Journal of Science. 2019	en_US
dc.identifier.uri	http://dr.lib.sjp.ac.lk/handle/123456789/12077
dc.description.abstract	Social media has become a vital part of humans’ day to day life. Different users engage with social media differently. With the increased usage of social media, many researchers have investigated different aspects of social media. Many examples in the recent past show, content in the social media can generate violence in the user community. Violence in social media can be categorised into aggregation in comments, cyber-bullying and incidents like protests, murders. Identifying violent content in social media is a challenging task: social media posts contain both the visual and text as well as these posts may contain hidden meaning according to the users’ context and other background information. This paper summarizes the different social media violent categories and existing methods to detect the violent content	en_US
dc.language.iso	en	en_US
dc.publisher	Dikwatta and Fernando/Vidyodaya Journal of Science	en_US
dc.subject	Machine learning, natural language processing, violence, social media, convolution neural network	en_US
dc.title	Violence Detection in Social Media-Review	en_US
dc.type	Article	en_US