Ebola optimization based spiking neural network for automatic hate speech recognition

Author:

Meenakshi A.,Ruth J. Anitha

Publisher

Springer Science and Business Media LLC

Reference17 articles.

1. Huang, Xiaolei, Linzi Xing, Franck Dernoncourt, Michael J. Paul, 2002. "Multilingual twitter corpus and baselines for evaluating demographic bias in hate speech recognition." arXiv preprint arXiv: 10361 (2020)

2. Pitsilis GK, Ramampiaro H, Langseth H (2018) Effective hate-speech detection in twitter data using recurrent neural networks. Appl Intell 48(12):4730–4742

3. Ayo FE, Folorunso O, Ibharalu FT, Osinuga IA (2020) Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions. Comput Sci Rev 38:100311

4. Sasmal S, Saring Y (2023) A zero-resourced indigenous language phones occurrence and durations analysis for an automatic speech recognition system. Int J Inf Technol 15(7):3513–3519

5. Barkani F, Hamidi M, Laaidi N, Zealouk O, Satori H, Satori K (2023) Amazigh speech recognition based on the kaldi ASR toolkit. Int J Inf Technol 15(7):3533–3540

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