Leyao Chen, Lei Hong*, Jiayin Liu
Journal of New Media, Vol.2, No.2, pp. 91-98, 2020, DOI:10.32604/jnm.2020.010125
- 21 August 2020
Abstract This paper aims to analyze the microblog data published by the
official account in a certain province of China, and finds out the rule of Weibo
that is easier to be forwarded in the new police media perspective. In this paper, a
new topic-based model is proposed. Firstly, the LDA topic clustering algorithm
is used to extract the topic categories with forwarding heat from the microblogs
with high forwarding numbers, then the Naive Bayesian algorithm is used to
topic categories. The sample data is processed to predict the type of microblog
forwarding. In order to More >
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