Hatred and trolling detection transliteration framework using hierarchical LSTM in code-mixed social media text
Abstract The paper describes the usage of self-learning Hierarchical LSTM technique for classifying hatred and trolling contents in social media code-mixed data. The Hierarchical LSTM-based learning is a novel learning architecture inspired from the neural learning models. The proposed HLSTM model i...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2021-08-01
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| Serie: | Complex & Intelligent Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s40747-021-00487-7 |
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