COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

Understand

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 is proposed.
• Establish a "Scrapy-Redis-Bloomfilter" distributed crawler framework to collect data.