Abstract
ABSTRACT In the context of the information explosion, the improvement of people’s living standards has enabled computers and mobile phones to enter the homes of thousands of ordinary people. While promoting the popularization of the Internet, it has also enabled Weibo, a platform for expressing their opinions. Has been rapidly developed. With the continuous development of Weibo, the current mainstream Weibo platforms include Sina Weibo, Tencent Weibo, NetEase Weibo and Sohu Weibo. Based on the idea of multi-label propagation, this paper comprehensively considers node similarity and node life value and proposes the TCMLPA algorithm for hot word clustering, which can effectively improve the accuracy of public opinion recommendation.
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