Items where Author is "Sharma, Deepawali"

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Number of items: 6.

Sharma, Deepawali, Nath, Tanusree, Gupta, Vedika and Singh, Vivek Kumar (2025) Hate Speech Detection Research in South Asian Languages: a survey of tasks, datasets and methods. ACM Transactions on Asian and Low-Resource Language Information Processing, 24 (3). pp. 1-44. Association for Computing Machinery . ISSN 2375-4699 Available at: https://doi.org/10.1145/3711710

Sharma, Deepawali, Gupta, Vedika, Singh, Vivek Kumar and Chakravarthi, Bharathi Raja (2025) Stop the Hate, Spread the Hope: an ensemble model for hope speech detection in english and dravidian languages. ACM Transactions on Asian and Low-Resource Language Information Processing. ISSN 2375-4699 Available at: https://doi.org/10.1145/3716383

Sharma, Deepawali, Singh, Vivek Kumar and Gupta, Vedika (2024) TABHATE: A Target-based Hate Speech Detection Dataset in Hindi. Social Network Analysis and Mining, 14: 190. Springer . ISSN 1869-5469 Available at: https://doi.org/10.1007/s13278-024-01355-1

Sharma, Deepawali, Gupta, Vedika, Singh, Vivek Kumar and Pinto, David (2024) Should we stay silent on violence? An ensemble approach to detect violent incidents in Spanish social media texts. Natural Language Processing, 31. pp. 457 -476. Cambridge University Press . ISSN 2977-0424 Available at: https://doi.org/10.1017/nlp.2024.25

Sharma, Deepawali, Gupta, Vedika and Singh, Vivek Kumar (2024) Abusive comment detection in Tamil using deep learning. In: Computational intelligence methods for a sentiment analysis in natural language processing applications. Elsevier. pp. 207-226. ISBN 978-0-443-22009-8 Available at: https://doi.org/10.1016/B978-0-443-22009-8.00001-X

Sharma, Deepawali, Gupta, Vedika and Singh, Vivek Kumar (2023) Detection of homophobia & transphobia in Malayalam and Tamil: Exploring deep learning methods. In: Advanced Network Technologies and Intelligent Computing. Communications in Computer and Information Science, vol. 1798. Springer, Cham. pp. 217-226. ISBN 9783031281839 Available at: https://doi.org/10.1007/978-3-031-28183-9_15

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