Towards Cyberbullying-free social media in smart cities: a unified multi-modal approach
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Kumari et al. utilized OCR to extract text from images to classify cyberbullying in image data.
“Kumari et al. [87] utilized OCR to extract text from the images to classify cyberbullying in image data.”
From A Review on Deep-Learning-Based Cyberbullying Detection (2023) · cites this paper as [87]
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A Review on Deep-Learning-Based Cyberbullying Detection
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“Kumari et al. [87] utilized OCR to extract text from the images to classify cyberbullying in image data.”
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Cyberbullying detection using deep transfer learning
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Cyberbullying Identification System Based Deep Learning Algorithms
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Artificial Intelligence-Enabled Cyberbullying-Free Online Social Networks in Smart Cities
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- Authors
- Kumari, K., Singh, J. P., Dwivedi, Y. K., & Rana, N. P.
- Affiliations
- National Institute of Technology Patna (IN)
- Swansea University (GB)
- University of Bradford (GB)
- Corresponding author
- Kumari, Kirti
- Venue
- Soft Computing
- Published
- 2019-11-27
- Volume
- 24
- Issue
- 15
- Pages
- 11059-11070
- ISSN
- 1432-7643 (ISSN-L)
- 1433-7479
- OpenAlex
- W2990156638
- Cited by
- 81
- References
- 38
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 12 · 2023: 14 · 2022: 16 · 2021: 16 · 2020: 7
- FWCI
- 4.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Soft Computing (publishedVersion)
- Bradford Scholars (University of Bradford) (submittedVersion)
- Funders
- Ministry of Electronics and Information technology
- 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 › Artificial Intelligence › Text and Document Classification Technologies
- Keywords
- cyberbullying detection, social media, smart cities, multimodal representation, text and image fusion, convolutional neural networks, hate speech
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