Author:
Shah Seyed Muzaffar Ahmad,Singh Satwinder
Publisher
Springer Nature Singapore
Reference26 articles.
1. Ayo FE, Folorunso O, Ibharalu FT, Osinuga IA, Abayomi-Alli A (2021) A probabilistic clustering model for hate speech classification in twitter. Expert Syst Appl 173. https://doi.org/10.1016/j.eswa.2021.114762
2. Kapil P, Ekbal A (2020) A deep neural network based multi-task learning approach to hate speech detection. Knowledge-Based Syst 210. https://doi.org/10.1016/j.knosys.2020.106458
3. Watanabe H, Bouazizi M, Ohtsuki T (2018) Hate speech on Twitter: a pragmatic approach to collect hateful and offensive expressions and perform hate speech detection. IEEE Access 6:13825–13835. https://doi.org/10.1109/ACCESS.2018.2806394
4. Souza A de, Abreu DC, Souza, GA (n.d.). Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata. http://shura.shu.ac.uk/26018/, https://orcid.org/0000-0001-7461-7570
5. Alfina I, Mulia R, Fanany MI, Ekanata Y (2018) Hate speech detection in the Indonesian language: A dataset and preliminary study. In: 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017, 2018-January, 233–237. https://doi.org/10.1109/ICACSIS.2017.8355039
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