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A Study of Machine Learning Approaches to Detect Cyberbullying

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Communication Software and Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 134))

Abstract

Social media networks like Facebook and Twitter create a great platform to share public views, opinions, feelings by text message, image, video. The public is very much interested to use these networks because of the comfortable Graphical User Interface (GUI) by a single click and taps to share content from their electric gadgets, gizmos, and mostly by their smartphones. On the other hand, some people performing cyberbullying activities like aggressive comments, abusing, trolling. Sometimes, these negative activities lead to cyberbullying victims to attempt suicide. In this paper, the authors are presenting essential approaches to recognize cyberbullying over social media using advanced machine learning and deep learning algorithms.

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Author information

Authors and Affiliations

  1. Department of CSE, Pondichery Engineering College, Pondicherry, India

    Subbaraju Pericherla & E. Ilavarasan

Authors
  1. Subbaraju Pericherla
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  2. E. Ilavarasan
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Corresponding author

Correspondence to Subbaraju Pericherla .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    M. Ramakrishna Murty

  4. Dean of Graduate School, Duy Tan University, DaNang, Vietnam

    Nguyen Gia Nhu

  5. Professor in Computer Science and Engineering, Lendi Institute of Engineering and Technology, Visakhapatnam, Andhra Pradesh, India

    Jayasri Kotti

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Pericherla, S., Ilavarasan, E. (2021). A Study of Machine Learning Approaches to Detect Cyberbullying. In: Satapathy, S.C., Bhateja, V., Ramakrishna Murty, M., Gia Nhu, N., Jayasri Kotti (eds) Communication Software and Networks. Lecture Notes in Networks and Systems, vol 134. Springer, Singapore. https://doi.org/10.1007/978-981-15-5397-4_38

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  • DOI: https://doi.org/10.1007/978-981-15-5397-4_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5396-7

  • Online ISBN: 978-981-15-5397-4

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