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Violence Detection in Social Media-Review

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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


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