Spatial and temporal analysis on public opinion evolution of epidemic situation about novel coronavirus pneumonia based on micro-blog data

A review Relying on 60 thousand blogs and 15 thousand hot blog reviews in Sina micro-blog from Jan 1st to Feb 29th in 2020, this article launches the anal of the public opinion to the topic about novel coronavirus pneumonia based on distributed crawler technol , distributed database system, SnowNLP sentiment anal model and K-Means algorithm This anal can show visually the spatial and temporal evolution process of Internaet public opinion in the events of this epidemic situation On spatial dimension, we find that the area which has the most serious epidemic has the most comments and the lowest emotional value through geog statistical anal