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Topic model

Known as: Topic modeling 
In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
Learning from Label Proportions (LLP) is a machine learning problem in which the training data consist of bags of instances, and… 
2014
2014
Lists in social networks have become popular tools to orga-nize content. This paper proposes a novel framework for rec… 
2014
2014
Abstract : This paper describes the medical information retrieval (MIR) systems designed by the University of Texas at Dallas… 
2014
2014
Conformity influence is the inclination of a person to be influenced by others. In this paper, we study how the conformity… 
2012
2012
In this paper we introduce a novel approach to identifying semantic frames from semantically unlabelled text corpora. There are… 
Review
2011
Review
2011
There is much research on social network analysis but only recently did scholars turn their attention to the volatility of social… 
2011
2011
This paper investigates novel methods for incorporating syntactic information in probabilistic latent variable models of lexical… 
2011
2011
We establish a novel task in the spirit of news summarization and topic detection and tracking (TDT): daily determination of the…