Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Rita Orji

doi:10.1109/JBHI.2020.3001216

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Rita Orji

Chemical Engineering

科研成果: 期刊稿件 › 文章 › 同行评审

287 引用（Scopus）

源语言	英语
文章编号	9112671
页（从-至）	2733-2742
页数	10
期刊	IEEE Journal of Biomedical and Health Informatics
卷	24
期	10
DOI	https://doi.org/10.1109/JBHI.2020.3001216
出版状态	已出版 - 10月 2020

!!!ASJC Scopus Subject Areas

健康信息管理
卫生信息学
电气与电子工程
计算机科学应用

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10.1109/JBHI.2020.3001216

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title = "Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach",

keywords = "COVID-19, Coronavirus, Deep Learning, Natural Language Processing, Topic modeling",

author = "Rita Orji",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2020",

month = oct,

doi = "10.1109/JBHI.2020.3001216",

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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

!!!ASJC Scopus Subject Areas

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