Author: Mengying Dong; Xiaojun Cao; Mingbiao Liang; Lijuan Li; Huiying Liang; Guangjian Liu
Title: Understand Research Hotspots Surrounding COVID-19 and Other Coronavirus Infections Using Topic Modeling Document date: 2020_3_30
ID: 3wuh6k6g_44
Snippet: Notwithstanding its limitations, this work is the first to thoroughly assess research output of coronavirus research in statistical perspective. The present study provided machine-extracted research topics in various contexts based on massive number of articles over a long period. Such a bottom-up approach can complement the existing manual content analysis techniques. It can also help to find the latent semantic relationships between topics and .....
Document: Notwithstanding its limitations, this work is the first to thoroughly assess research output of coronavirus research in statistical perspective. The present study provided machine-extracted research topics in various contexts based on massive number of articles over a long period. Such a bottom-up approach can complement the existing manual content analysis techniques. It can also help to find the latent semantic relationships between topics and enrich the research landscape.
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