|Table of Contents|

Topic Model Based on MixtureLDA in Microblog Platform(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2017年01期
Page:
80-
Research Field:
计算机工程
Publishing date:

Info

Title:
Topic Model Based on MixtureLDA in Microblog Platform
Author(s):
Wan Jiahua
Institute of Information Engineering,Anhui Xinhua University,Hefei 230088,China
Keywords:
Microblog; topic model; microblog types; mixtureLDA
PACS:
TP391.6
DOI:
10.3969/j.issn.1672-1292.2017.01.012
Abstract:
Current studies on the topic model provide little discussion on time factor,but only focus on content factor. In this paper,a comprehensive content-considered and time-considered topic model,mixtureLDA is presented. Through the model one can obtain different kinds of user microblogs and time microblogs of topic probability distribution. The statistic data derived from Sina Weibo are applied as a case study. The results show that the topic model based on mixtureLDA provides more reliable topic probability distribution of user microblogs and time microblogs. Compared with MB-LDA and user LDA methods,the perplexity value from mixtureLDA method is lower,which means that it is more effective.

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