Cited by 116Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion MiningSpam and Phishing Detection

Cyberbullying Detection using Pre-Trained BERT Model

Yadav, Jaideep, Kumar, Devesh, Chauhan, Dheeraj·2020·2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)

Abstract

Cyberbullying is spread across various social media platforms. It is a wrong deed in which the victim is harassed by receiving the derogatory / provocative / sensitive images or text messages by the bully. Detection of such message/post in such large platforms is very difficult and may sometimes lead to false detection. Recently, deep neural network based models have shown significant improvement over traditional models in detecting cyberbullying. Also, new and more complex deep learning architectures are being developed which are proving to be useful in various NLP tasks. Google researchers has recently developed a language learning model called BERT, which is capable of generating contextual embeddings and is also able to produce task specific embeddings for classification. A new approach is proposed to cyberbullying detection in social media platforms by using the novel pre-trained BERT model with a single linear neural network layer on top as a classifier, which improves over the existing results. The model is trained and evaluated on two social media datasets of which one dataset is small size and the second dataset is relatively larger size.

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Registry

Crossref · 10.1109/icesc48915.2020.9155700

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14 of 14 references verified0 citation errors · 0 not checkable

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  • PyTorch is a widely used framework for cyberbullying detection.

    “Another widely used framework for cyberbullying detection [19,73,168,185] is PyTorch, which is developed based on the Torch [186] library of Lua programming language.”

    From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [73]

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Authors
Yadav, J., Kumar, D., & Chauhan, D.
Affiliations
Delhi Technological University (IN)
Venue
2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)
Publisher
IEEE
Published
2020-07
Pages
1096-1100
OpenAlex
W3047016663
Cited by
116
References
13
Citations by year
2026: 9 · 2025: 16 · 2024: 32 · 2023: 31 · 2022: 18 · 2021: 10
FWCI
5.63
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Electronics and Sustainable Communication Systems (ICESC) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords
cyberbullying detection, BERT, pre-trained language models, social media, text classification, contextual embeddings, linear classifiers, small datasets

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