Abstract : The study on topic evolution can help people to understand the ins and outs of topics. Traditional study on topic evolution is based on LDA model, but for microblog data, the effect of this model is not significant. An MLDA model is proposed in this paper, which takes microblog document relation, topic tag and authors relations into consideration. Then, the topic evolution in content and intensity is analyzed. The experiments on microblog data have shown the effectiveness and efficiency of the proposed approach to topic detection and evolution analysis on Microblog.
Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.67-77, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_8〉
https://hal.inria.fr/hal-01383318
Contributeur : Hal Ifip
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Soumis le : mardi 18 octobre 2016 - 14:53:11
Dernière modification le : mardi 18 octobre 2016 - 15:08:51
Guoyong Cai, Libin Peng, Yong Wang. Topic Detection and Evolution Analysis on Microblog. Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.67-77, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_8〉. 〈hal-01383318〉
