<--- Back to Details
First PageDocument Content
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
Date: 2017-07-19 14:45:03
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

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

Add to Reading List

Source URL: www.cs.cornell.edu

Download Document from Source Website

File Size: 94,08 KB

Share Document on Facebook

Similar Documents

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam

DocID: 1vrep - View Document

Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, July 2002, pp.

DocID: 1vn1Q - View Document

NODALIDA 2009 th 17 Nordic Conference of Computational Linguistics Kristiina Jokinen

DocID: 1vkzQ - View Document

Concepts and properties in word spaces* Marco Baroni & Alessandro Lenci Properties play a central role in most theories of conceptual knowledge. Since computational models derived from word co-occurrence statistics have

DocID: 1vcjQ - View Document

The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics Steven Bird1 , Robert Dale2 , Bonnie J. Dorr3 , Bryan Gibson4 , Mark T. Joseph4 , Min-Yen Kan5† , Dongwon

DocID: 1v63z - View Document