Understanding Text Pre-Processing for Latent Dirichlet Allocation Alexandra Schofield1 M˚ans Magnusson2 Laure Thompson1 David Mimno3 1 Department of Computer Science, Cornell University, Ithaca, NY {xanda, laurejt}@cs.c

Source URL: www.cs.cornell.edu

• Linguistics
• Computational linguistics
• Statistical natural language processing
• Natural language processing
• Corpus linguistics
• Applied linguistics
• Speech recognition
• Topic model
• Latent Dirichlet allocation
• N-gram
• Stemming
• Text corpus

HarpLDA+: Optimizing Latent Dirichlet Allocation for Parallel Efficiency Bo Peng1 Shaojuan Zhu3 Bingjing Zhang1 Langshi Chen1 Mihai Avram1 Robert Henschel2 Craig Stewart2 Emily Mccallum3

Source URL: dsc.soic.indiana.edu

WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation Jianfei Chen†‡ , Kaiwei Li†§ , Jun Zhu†‡ , Wenguang Chen†§ † Dept. of Comp. Sci. & Tech.; TNList Lab; CBICR Center; Tsinghua Univ

Source URL: hpc.cs.tsinghua.edu.cn

Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei

Source URL: www.jmlr.org

When One Textbook is not Enough: Linking Multiple Textbooks Using Probabilistic Topic Models Julio Guerra12 , Sergey Sosnovsky3 , and Peter Brusilovsky1 1

Source URL: columbus.exp.sis.pitt.edu

• Statistical natural language processing
• Education
• Natural language processing
• Latent Dirichlet allocation
• Topic model
• Learning
• Textbook
• Information retrieval
• Digital textbook
• Ranking
• Publishing
• Bag-of-words model in computer vision

A Latent Dirichlet Allocation Model for Entity Resolution Indrajit Bhattacharya Lise Getoor University of Maryland

Source URL: drona.csa.iisc.ernet.in

• Probability
• Statistics
• Sampling
• Survey methodology
• Mixture model
• Gibbs sampling
• Record linkage
• Latent Dirichlet allocation
• Probability distribution
• Prior probability
• Causality

Correlated Community Estimation Models Over a Set of Names Suresh Veluru∗ , Yogachandran Rahulamathavan∗ , Suresh Manandhar† , and Muttukrishnan Rajarajan∗ ∗ Information Security Group, School of Engineering a

Source URL: www.uncertaintyofidentity.com

• Statistics
• Probability
• Probability distributions
• Statistical natural language processing
• Latent Dirichlet allocation
• Statistical models
• Mixture model
• Topic model
• Dirichlet distribution
• Multinomial distribution
• Gibbs sampling
• Perplexity

A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University

Source URL: homes.cs.washington.edu

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Estimation theory
• Regression analysis
• Dynamic topic model
• Latent Dirichlet allocation
• Variational Bayesian methods
• Mixture model
• Topic model
• Normal distribution

Event Detection via LDA for the MediaEval2012 SED Task Konstantinos N. Vavliakis, Fani A. Tzima, and Pericles A. Mitkas Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki & Informatio

Source URL: ceur-ws.org

• Statistical natural language processing
• Latent Dirichlet allocation
• Topic model
• Tfidf
• Information
• Cognitive science
• Probability and statistics

September 14, :56 WSPC - Proceedings Trim Size: 9.75in x 6.5in

Source URL: www.jsbi.org

• Statistical theory
• Statistics
• Bayesian statistics
• Probability
• Statistical natural language processing
• Latent Dirichlet allocation
• Estimation theory
• Variational Bayesian methods
• Gibbs sampling
• Likelihood function
• Probability distributions