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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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Related topics

Related topics

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BioinformaticsComputational journalismDeeplearning4jDiffusion wavelets

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An Effective Arabic Text Classification Approach Based on Kernel Naive Bayes Classifier
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2016
2016
Predictive monitoring of clinical pathways
2014
2014
UTD at TREC 2014: Query Expansion for Clinical Decision Support
Abstract : This paper describes the medical information retrieval (MIR) systems designed by the University of Texas at Dallas… 
2014
2014
ASAP: Automatic Semantic Alignment for Phrases
In this paper we describe the ASAP system (Automatic Semantic Alignment for Phrases)1 which participated on the Task 1 at the… 
2013
2013
Dynamic scene understanding by improved sparse topical coding
2013
2013
Structural Parse Tree Features for Text Representation
We propose and study novel text representation features created from parse tree structures. Unlike the traditional parse tree… 
2012
2012
Expertise Network Discovery via Topic and Link Analysis in Online Communities
Online communities have become important places for people to seek and share expertise. Yet with the increasing number of members… 
Highly Cited
2011
Highly Cited
2011
Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models
We consider a new subproblem of unsupervised parsing from raw text, unsupervised partial parsing---the unsupervised version of… 
2011
2011
Probabilistic models of similarity in syntactic context
This paper investigates novel methods for incorporating syntactic information in probabilistic latent variable models of lexical… 
2011
2011
Code Search via Topic-Enriched Dependence Graph Matching
Source code contains textual, structural, and semantic information, which can all be leveraged for effective search. Some studies… 
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