@inproceedings{ahani-etal-2024-zavira,
title = "Zavira@{D}ravidian{L}ang{T}ech 2024:{T}elugu hate speech detection using {LSTM}",
author = "Ahani, Z. and
Tash, M. and
Zamir, M. and
Gelbukh, I.",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth and
Nadarajan, Rajeswari and
Ravikiran, Manikandan",
booktitle = "Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages",
month = mar,
year = "2024",
address = "St. Julian's, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.dravidianlangtech-1.17",
pages = "107--112",
abstract = "Hate speech is communication, often oral or written, that incites, stigmatizes, or incites violence or prejudice against individuals or groups based on characteristics such as race, religion, ethnicity, gender, sexual orientation, or other protected characteristics. This usually involves expressions of hostility, contempt, or prejudice and can have harmful social consequences.Among the broader social landscape, an important problem and challenge facing the medical community is related to the impact of people{'}s verbal expression. These words have a significant and immediate effect on human behavior and psyche. Repeating such phrases can even lead to depression and social isolation.In an attempt to identify and classify these Telugu text samples in the social media domain, our research LSTM and the findings of this experiment are summarized in this paper, in which out of 27 participants, we obtained 8th place with an F1 score of 0.68.",
}
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%0 Conference Proceedings
%T Zavira@DravidianLangTech 2024:Telugu hate speech detection using LSTM
%A Ahani, Z.
%A Tash, M.
%A Zamir, M.
%A Gelbukh, I.
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%Y Nadarajan, Rajeswari
%Y Ravikiran, Manikandan
%S Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F ahani-etal-2024-zavira
%X Hate speech is communication, often oral or written, that incites, stigmatizes, or incites violence or prejudice against individuals or groups based on characteristics such as race, religion, ethnicity, gender, sexual orientation, or other protected characteristics. This usually involves expressions of hostility, contempt, or prejudice and can have harmful social consequences.Among the broader social landscape, an important problem and challenge facing the medical community is related to the impact of people’s verbal expression. These words have a significant and immediate effect on human behavior and psyche. Repeating such phrases can even lead to depression and social isolation.In an attempt to identify and classify these Telugu text samples in the social media domain, our research LSTM and the findings of this experiment are summarized in this paper, in which out of 27 participants, we obtained 8th place with an F1 score of 0.68.
%U https://aclanthology.org/2024.dravidianlangtech-1.17
%P 107-112
Markdown (Informal)
[Zavira@DravidianLangTech 2024:Telugu hate speech detection using LSTM](https://aclanthology.org/2024.dravidianlangtech-1.17) (Ahani et al., DravidianLangTech-WS 2024)
ACL