An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding.
- DOI
- 10.1155/2022/8467349
- Published
- 2022
- Container
- Computational intelligence and neuroscience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1155/2022/8467349,
title = {An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding.},
author = {Alsharef A and Aggarwal K and Sonia and Koundal D and Alyami H and Ameyed D},
year = {2022},
journal = {Computational intelligence and neuroscience},
doi = {10.1155/2022/8467349},
url = {https://doi.org/10.1155/2022/8467349}
}RIS
TY - JOUR TI - An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding. AU - Alsharef A AU - Aggarwal K AU - Sonia AU - Koundal D AU - Alyami H AU - Ameyed D PY - 2022 JO - Computational intelligence and neuroscience DO - 10.1155/2022/8467349 UR - https://doi.org/10.1155/2022/8467349 ER -
APA
A, A., K, A., Sonia, D, K., H, A., & D, A. (2022). An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/8467349
Source records
- pubmed · retrieved 2026-09-25T01:06:35.440Z