Performance Analysis of Supervised Machine Learning Algorithms for Detection of Cyberbullying in Twitter-Reference-Cited by-同舟云学术

Performance Analysis of Supervised Machine Learning Algorithms for Detection of Cyberbullying in Twitter

Published:2022 Issue: Volume: Page:381-401
ISSN:2367-3370
Container-title:Intelligent Sustainable Systems
language:
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Author:

Shakeel Nida,Dwivedi Rajendra Kumar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2894-9_29

Reference34 articles.

1. H. Nurrahmi, D. Nurjanah, Indonesian Twitter cyberbullying detection using text classification and user credibility, in International Conference on Information and Communications Technology (ICOIACT) (2016), pp. 542–547

2. G. Prasanna Kumar et al., Survey on cyberbullying. Int. J. Eng. Res. Technol. (IJERT) 1–4 (2017)

3. T. Pradheep, J.I. Sheeba, T. Yogeshwaran, Automatic multimodal cyberbullying detection from social networks, in International Conference on Intelligent Computing Systems (ICICS) (2017), pp. 248–254

4. A. Mangaonkar, A. Hayrapetian, R. Raje, Collaborative detection of cyberbullying behavior in Twitter, in IEEE (2018)

5. M.A. Al-Ajlan, M. Ykhlef, Optimized cyberbullying detection based on deep learning (2018)

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