Machine Learning Methods to Identify Aggressive Behavior in Social Media

Title

Machine Learning Methods to Identify Aggressive Behavior in Social Media

Creator

Pawar V.; Jose D.V.

Description

With the more usage of Internet and online social media, platforms creep with lot of cybercrimes. Texts in the online platforms and chat rooms are aggressive. In few instances, people target and humiliate them with the text. It affects victim mental health. Therefore, there is a need of detecting the abuse words in the text. In this paper, a study of machine learning methods is done to identify the aggressive behavior. Accuracy can be improved by incorporating additional features. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Networks and Systems, Vol-490, pp. 507-513.

Date

2023-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Cyber-aggressive; Cyber-bullying; Machine learning

Coverage

Pawar V., Assistant Professor, Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Research Scholar, Department of Computer Science, Christ Deemed to be University, Bengaluru, India; Jose D.V., Christ Deemed to be University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981194051-4

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-19-4052-1_50

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138762847&doi=10.1007%2f978-981-19-4052-1_50&partnerID=40&md5=617410b76e5041817062ebe8cebb464c