Earticle

초록

영어

Most of the models not aware of these dependencies on document time stamps. Not modeling time can confound co-occurrence patters and results in exchangeability of topic problem, which is important factor to deal with when finding dynamic topic discovery. This limitation has thus motivated work on developing a generalized framework for incorporating time information into topic models. Consequently, a topic model named Topics over Time (TOT) is proposed, which introduces a time node in topic model to handle the exchangeability of topics problem. However it lacks the capability to accommodate data type of side information. In this paper, we present a generative time LDA-style topic model with a variety of side information named Time Label Topic(TLT), which can find not only how the latent low-dimensional structure of document-response pairs changes over time, but also overcome the exchangeability of topics problem. Empirical results demonstrate significant improvements accuracy of time stamp and response variable prediction, and lower perplexity of our proposed model and dominance over other models.

목차

Abstract
 1. Introduction
 2. Time Label Topic
  2.1 Modeling Documents with Topics
  2.2. Time Label Topic Model
 3. Approximate Variational Inference
 4. Response Variable and Attention of Topic
 5. Experiments
  5.1. Comparing predictive power for Different Models
  5.2 Time Stamp and Response Variable Prediction
  5.3. Topic Revolution over Time
 Summary
 Acknowledgments
 References

키워드

저자

• YongHeng Chen [ College of Computer Science, Minnan Normal University, zhangzhou 363000, China ] Response author
• Wanli Zuo [ College of Computer Science and Technology, Jilin University, Changchun, China ]
• kerui Chen [ College of Computer and Information Engineering, Hennan University of Economics and Law, Zhengzhou ]
• Yaojin lin [ College of Computer Science, Minnan Normal University, zhangzhou 363000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605