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A Robust Ensemble Learning Model for Fine-Grained Detection of Cyber Harassment by S. Abarna; J. I. Sheeba; S. Jayasrilakshmi; S. Pradeep Devaneyan is a book available to read on EtoBox.

What is A Robust Ensemble Learning Model for Fine-Grained Detection of Cyber Harassment about?

Due to innovative growth in cyberspace and portable penetration, kids in India are at risk of cyber harassment. A review of 174 central graders in Delhi exposed that a total of 8% pandered in cyber harassment and 17% described being offended by such acts. However, the occurrence of in-person harassment, hostility, and discrimination is also happening. Amid all the digital platforms, Instagram positions developed with extreme cyber harassment. Over the preceding span, it brought substantial developments in the grounds of machine learning (ML) which have been efficaciously functional in fields associated with cyber harassment findings, such as buzz recognition, sentimentality study, and forged broadcast discovery. In machine learning, methods are provided for detective work and the classification of online harassment. Researchers have conducted experiments using comparable datasets. To build an ensemble learning model for detecting and classification different categories of online harassment from social media platforms. In our proposed work, a robust method of detecting online harassment (cyberbullying) on the Instagram dataset is used. The attributes of abusive words are initially a

Author

S. Abarna; J. I. Sheeba; S. Jayasrilakshmi; S. Pradeep Devaneyan

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2023

Language

EN

ISBN

9789811977534

Subjects

Engineering, Computer Science, Stem