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Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation
Research article (Journal of the American Medical Informatics Association, 2017) · cited 46× · AI/ML
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation
Summary
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation is a scholarly article[1].
Key Facts
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/mining-e-cigarette-adverse-events-in-social-media-using-bi-lstm-recurrent-neural-network-with-word-embedding-representat
MLA“Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mining-e-cigarette-adverse-events-in-social-media-using-bi-lstm-recurrent-neural-network-with-word-embedding-representat.
BibTeX@misc{4ortxyz_mining-e-cigarette-adverse-events-in-social-media-using-bi-lstm-recurrent-neural-network-with-word-embedding-representat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation}}, year = {2026}, url = {https://4ort.xyz/entity/mining-e-cigarette-adverse-events-in-social-media-using-bi-lstm-recurrent-neural-network-with-word-embedding-representat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation — https://4ort.xyz/entity/mining-e-cigarette-adverse-events-in-social-media-using-bi-lstm-recurrent-neural-network-with-word-embedding-representat (retrieved 2026-05-24)
