[Objective] This paper is aiming at discovering the topic of multimedia content such as images or videos in microblogs.[Context] The text content of multimedia microblogs is usually brief and the topic of such microblogs generally contains in its multimedia content such as images or videos, so the traditional text mining methods may not be applied to these cases.[Methods] Extend text space of the multimedia microblog through the use of hot comments. Then use LDA topic model to inference the classification and mine the topic features. Finally, express topic features of the multimedia mircoblog in the form of ‘topic tag -feature words'.[Results] Experiments by constructing the training set use 99 823 Sina microblogs collected by crawler tool set, and constructing the test set use 151 hot multimedia microblogs with all those comments. Results show that the classification directory built in this paper is complete, the topic tag infers with 88.6% accuracy, and the relevant feature word mining accuracy is 76.0%.[Conclusions] The experiment results show that the new algorithm can effectively and significantly discover topic features of multimedia microblogs.
叶川, 马静. 多媒体微博评论信息的主题发现算法研究[J]. 现代图书情报技术, 2015, 31(11): 51-59.
Ye Chuan, Ma Jing. Research on Topic Discovery Algoritm of Multimedia Microblog Comments Information. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2015.11.08.
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