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

摘要: Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss share information with each other. In late December 2019, an outbreak of novel coronavirus (infection from which results in the disease named COVID-19) was reported, and, due rapid spread virus other parts world, World Health Organization declared state emergency. this paper, we used automated extraction COVID-19 related discussions media natural language process (NLP) method based on topic modeling uncover various opinions. Moreover, also investigate how use LSTM recurrent neural network sentiment classification comments. Our findings shed light importance using opinions suitable computational techniques understand surrounding guide decision-making.