Yixian Zhang1, Jieren Cheng2, *, Yifan Yang2, Haocheng Li2, Xinyi Zheng2, Xi Chen2, Boyi Liu3, Tenglong Ren4, Naixue Xiong5
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1415-1434, 2020, DOI:10.32604/cmc.2020.011316
- 30 June 2020
Abstract With the spread and development of new epidemics, it is of great reference
value to identify the changing trends of epidemics in public emotions. We designed and
implemented the COVID-19 public opinion monitoring system based on time series
thermal new word mining. A new word structure discovery scheme based on the timing
explosion of network topics and a Chinese sentiment analysis method for the COVID-19
public opinion environment are proposed. Establish a “Scrapy-Redis-Bloomfilter”
distributed crawler framework to collect data. The system can judge the positive and
negative emotions of the reviewer based on the comments, More >
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