Integrating Semantic Knowledge into Tag-LDA Model through Cloud Model

被引：0

作者：

Zhang, Maoyuan ^{[1
]}

Yuan, Fang ^{[1
]}

Zhu, Jianping ^{[1
]}

机构：

[1] Cent China Normal Univ, Dept Comp Sci & Technol, Wuhan, Peoples R China

来源：

PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA | 2015年

关键词：

Semantic Knowledge; Cloud Model; Tag-LDA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Semantic Knowledge is usually adding into topic model to improve topic coherence. However, it's hard to judge whether semantic information is related to topic without using complicated lexical characteristics. In this paper, we demonstrate a novel model called Cloud Transformation Model, which can easily judge whether semantic information is related to topic, and integrate semantic information into topic model.

引用

页码：2907 / 2909

页数：3

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