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ICASSP
2011
IEEE
8 years 1 months ago
Bayesian topic models for describing computer network behaviors
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...
Christopher Cramer, Lawrence Carin
TMM
2010
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8 years 4 months ago
Mining Group Nonverbal Conversational Patterns Using Probabilistic Topic Models
Abstract--The automatic discovery of group conversational behavior is a relevant problem in social computing. In this paper, we present an approach to address this problem by defin...
Dinesh Babu Jayagopi, Daniel Gatica-Perez
WWW
2011
ACM
8 years 4 months ago
ReadAlong: reading articles and comments together
We propose a new paradigm for displaying comments: showing comments alongside parts of the article they correspond to. We evaluate the effectiveness of various approaches for thi...
Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib...
WWW
2011
ACM
8 years 4 months ago
Investigating topic models for social media user recommendation
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
Marco Pennacchiotti, Siva Gurumurthy
COLING
2010
8 years 4 months ago
Best Topic Word Selection for Topic Labelling
This paper presents the novel task of best topic word selection, that is the selection of the topic word that is the best label for a given topic, as a means of enhancing the inte...
Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy...
AAAI
2010
8 years 6 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
ICMLA
2009
8 years 7 months ago
Exploring Scale-Induced Feature Hierarchies in Natural Images
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...
AND
2009
8 years 7 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
EMNLP
2010
8 years 7 months ago
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and ...
Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming ...
ACL
2010
8 years 7 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson
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