A study on the Communication characteristics of Sports-related Network Public opinion in China from the Perspective of NLP Li Sicheng(a*), Ming Yu(a)
a)School of Physical Education,Nanchang University
Nanchang,Jiangxi,China
*lisicheng970201[at]163.com
Abstract
The purpose of this study is to construct the semantic network of sports-related public opinion in China from June 29 to July 29 through NLP technology, and to analyze the correlation between the comparison of KOL maps and the temporal quantitative changes between them and sort out the differences between concerns.
Research methods: use the SAAS platform to obtain the overall public opinion in the network environment, take 10, 000 daily samples as a total of 310000, and collect all KOL public opinion a total of 10361. Use python to load HANLP library to deal with public opinion text to eliminate single words, meaningless words and so on to form a semantic matrix into gephi to generate semantic atlas for comparative analysis. The daily changes between the two data were introduced into spss for correlation analysis to obtain the influence of KOL groups in the field of sports.
Keywords: Sports communication-semantic atlas-online public opinion-quantitative analysis
