Bangla hate speech detection on social media using attention-based recurrent neural network
This article was published in the Journal of Intelligent Systems by De Gruyter [© 2021 Amit Kumar Das et al., published by De Gruyter, This work is licensed under the Creative Commons Attribution 4.0 International License.] and the definite version is available at: https://doi.org/10.1515/jisys-2020...
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| Rochtain ar líne: | http://hdl.handle.net/10361/17030 https://doi.org/10.1515/jisys-2020-0060 |
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10361-170302022-07-24T21:01:36Z Bangla hate speech detection on social media using attention-based recurrent neural network Das, Amit Kumar Al Asif, Abdullah Paul, Anik Hossain, Md. Nur Brac James P. Grant School of Public Health RNN Attention mechanism LSTM GRU Bangla text classification Bangla hate speech detection This article was published in the Journal of Intelligent Systems by De Gruyter [© 2021 Amit Kumar Das et al., published by De Gruyter, This work is licensed under the Creative Commons Attribution 4.0 International License.] and the definite version is available at: https://doi.org/10.1515/jisys-2020-0060 The Journal's website is at: https://www.degruyter.com/document/doi/10.1515/jisys-2020-0060/html Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in detecting hate speeches in English, German, and other languages, very few works have been carried out in the context of the Bengali language. In contrast, millions of people communicate on social media in Bengali. The few existing works that have been carried out need improvements in both accuracy and interpretability. This article proposed encoder–decoder-based machine learning model, a popular tool in NLP, to classify user’s Bengali comments from Facebook pages. A dataset of 7,425 Bengali comments, consisting of seven distinct categories of hate speeches, was used to train and evaluate our model. For extracting and encoding local features from the comments, 1D convolutional layers were used. Finally, the attention mechanism, LSTM, and GRU-based decoders have been used for predicting hate speech categories. Among the three encoder–decoder algorithms, attention-based decoder obtained the best accuracy (77%). Published 2022-07-24T08:58:34Z 2022-07-24T08:58:34Z 2021 2021-04-09 Thesis Das, A. K., Al Asif, A., Paul, A., & Hossain, M. N. (2021). Bangla hate speech detection on social media using attention-based recurrent neural network. Journal of Intelligent Systems, 30(1), 578-591. doi:10.1515/jisys-2020-0060 http://hdl.handle.net/10361/17030 https://doi.org/10.1515/jisys-2020-0060 en_US https://www.degruyter.com/document/doi/10.1515/jisys-2020-0060/html Journal of Intelligent Systems application/pdf De Gruyter |
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Brac University |
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Institutional Repository |
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en_US |
| topic |
RNN Attention mechanism LSTM GRU Bangla text classification Bangla hate speech detection |
| spellingShingle |
RNN Attention mechanism LSTM GRU Bangla text classification Bangla hate speech detection Das, Amit Kumar Al Asif, Abdullah Paul, Anik Hossain, Md. Nur Bangla hate speech detection on social media using attention-based recurrent neural network |
| description |
This article was published in the Journal of Intelligent Systems by De Gruyter [© 2021 Amit Kumar Das et al., published by De Gruyter, This work is licensed under the Creative Commons Attribution 4.0 International License.] and the definite version is available at: https://doi.org/10.1515/jisys-2020-0060 The Journal's website is at: https://www.degruyter.com/document/doi/10.1515/jisys-2020-0060/html |
| author2 |
Brac James P. Grant School of Public Health |
| author_facet |
Brac James P. Grant School of Public Health Das, Amit Kumar Al Asif, Abdullah Paul, Anik Hossain, Md. Nur |
| format |
Thesis |
| author |
Das, Amit Kumar Al Asif, Abdullah Paul, Anik Hossain, Md. Nur |
| author_sort |
Das, Amit Kumar |
| title |
Bangla hate speech detection on social media using attention-based recurrent neural network |
| title_short |
Bangla hate speech detection on social media using attention-based recurrent neural network |
| title_full |
Bangla hate speech detection on social media using attention-based recurrent neural network |
| title_fullStr |
Bangla hate speech detection on social media using attention-based recurrent neural network |
| title_full_unstemmed |
Bangla hate speech detection on social media using attention-based recurrent neural network |
| title_sort |
bangla hate speech detection on social media using attention-based recurrent neural network |
| publisher |
De Gruyter |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17030 https://doi.org/10.1515/jisys-2020-0060 |
| work_keys_str_mv |
AT dasamitkumar banglahatespeechdetectiononsocialmediausingattentionbasedrecurrentneuralnetwork AT alasifabdullah banglahatespeechdetectiononsocialmediausingattentionbasedrecurrentneuralnetwork AT paulanik banglahatespeechdetectiononsocialmediausingattentionbasedrecurrentneuralnetwork AT hossainmdnur banglahatespeechdetectiononsocialmediausingattentionbasedrecurrentneuralnetwork |
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1814307354779320320 |