期刊论文

He Tingting

英文

中国通信：英文版

1673-5447

2012

9

3

38-48

supported by the National Natural Science Foundation of China under Grants No.90920005,No.61003192； the Key Project of Philosophy and Social Sciences Research,Ministry of Education under Grant No.08JZD0032； the Program of Introducing Talents of Discipline to Universities under Grant No.B07042； the Natural Science Foundation of Hubei Province under Grants No.2011CDA034,No.2009CDB145； Chenguang Program of Wuhan Municipality under Grant No.201050231067； the selfdetermined research funds of CCNU from the colleges’ basic research and operation of MOE under Grants No.CCNU10A02009,No.CCNU10C01005；

本校为第一且通讯机构

This paper focuses on semantic knowledge acquisition from blogs with the proposed tagtopic model. The model extends the Latent Dirichlet Allocation (LDA) model by adding a tag layer between the document and the topic. Each document is represented by a mixture of tags; each tag is associated with a multinomial distribution over topics and each topic is associated with a multinomial distribution over words. After parameter estimation, the tags are used to describe the underlying topics. Thus the latent semantic knowledge within the topics could be represented explicitly. The tags are treated as ...