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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

Conversation Graph Construction Approach of Cyberbully Detection Using Bully Scores

verfasst von : C. Valliyammai, D. Manikandan, G. S. Nithish Kumar, M. Keerthika, B. Kavin

Erschienen in: ICT: Innovation and Computing

Verlag: Springer Nature Singapore

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Abstract

Social media is a platform for sharing content and interacting with other people through multimedia data such as photos, videos, and documents accessed via computers or smartphones. One of the most dangerous consequences of social media is the rise of cyberbullying, which is more diabolical than traditional bullying and hard to control. The objective of the system is to determine the bully score of the users, and it helps to identify how much the person is using bully phrases in social media. The proposed work aims to recognize the cyberbullying phrase in a tweet using VADER sentimental analysis of the user. BERT model is used to classify the bully tweets which performs with a better accuracy of 0.9535. A conversation graph is constructed by a bully score of each user with the help of the PageRank algorithm to identify the cyberbullies.

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Vorheriges Kapitel Performance Analysis for Trichoscopy and Trichogram Using Deep Learning and Image Processing—A Survey
Nächstes Kapitel Artificial Intelligence-Based L&E-Refiner for Blind Learners
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Metadaten
Titel
Conversation Graph Construction Approach of Cyberbully Detection Using Bully Scores
verfasst von
C. Valliyammai
D. Manikandan
G. S. Nithish Kumar
M. Keerthika
B. Kavin
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
ICT: Innovation and Computing

Print ISBN: 978-981-9994-85-4

Electronic ISBN: 978-981-9994-86-1

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-9486-1_35

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