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CIKM
2009
Springer
14 years 8 days ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
MIR
2003
ACM
94views Multimedia» more  MIR 2003»
14 years 27 days ago
Threading news video topics
We introduce a method to extract topic threads throughout a large-scale news video corpus as well as an interface that provides the users with the facility to browse through the c...
Ichiro Ide, Hiroshi Mo, Norio Katayama
WWW
2008
ACM
14 years 8 months ago
Modeling online reviews with multi-grain topic models
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Ivan Titov, Ryan T. McDonald
MMM
2009
Springer
180views Multimedia» more  MMM 2009»
14 years 4 months ago
Personalized News Video Recommendation
In this paper, a novel framework is developed to support personalized news video recommendation. First, multi-modal information sources for news videos are seamlessly integrated an...
Hangzai Luo, Jianping Fan, Daniel A. Keim, Shin'ic...
WWW
2007
ACM
14 years 8 months ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...