Topic Models: A Tutorial with R

被引：7

作者：

Richardson, G. Manning ^{[1
]}

Bowers, Janet ^{[2
]}

Woodill, A. John ^{[3
]}

Barr, Joseph R. ^{[2
]}

Gawron, Jean Mark ^{[4
]}

Levine, Richard A. ^{[2
]}

机构：

[1] San Diego State Univ, Computat Sci Res Ctr, San Diego, CA 92182 USA

[2] San Diego State Univ, Dept Math & Stat, San Diego, CA 92182 USA

[3] San Diego State Univ, Dept Econ, San Diego, CA 92182 USA

[4] San Diego State Univ, Dept Linguist & Asian Middle Eastern Languages, San Diego, CA 92182 USA

来源：

INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING | 2014年 / 8卷 / 01期

关键词：

Probabilistic topic models; latent semantic analysis; microblogging; twitter;

D O I：

10.1142/S1793351X14500044

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This tutorial presents topic models for organizing and comparing documents. The technique and corresponding discussion focuses on analysis of short text documents, particularly micro-blogs. However, the base topic model and R implementation are generally applicable to text analytics of document databases.

引用

页码：85 / 98

页数：14

共 50 条

[31] CONNECTIONIST MODELS OF CONDITIONING - A TUTORIAL
KEHOE, EJ
JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR, 1989, 52 (03) : 427 - 440
[32] A tutorial on Bayesian models of perception
Vincent, Benjamin T.
JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2015, 66 : 103 - 114
[33] A tutorial on generalized linear models
Myers, RH
Montgomery, DC
JOURNAL OF QUALITY TECHNOLOGY, 1997, 29 (03) : 274 - 291
[34] A Tutorial on Speech Synthesis Models
Youcef, Tabet
Mohamed, Boughazi
Sadek, Affifi
INTERNATIONAL CONFERENCE ON ADVANCED WIRELESS INFORMATION AND COMMUNICATION TECHNOLOGIES (AWICT 2015), 2015, 73 : 48 - 55
[35] Multirelational Topic Models
Zeng, Jia
Cheung, William K.
Li, Chun-hung
Liu, Jiming
2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 2009, : 1070 - 1075
[36] Differential Topic Models
Chen, Changyou
Buntine, Wray
Ding, Nan
Xie, Lexing
Du, Lan
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 37 (02) : 230 - 242
[37] Probabilistic Topic Models
Blei, David M.
COMMUNICATIONS OF THE ACM, 2012, 55 (04) : 77 - 84
[38] On Provenance in Topic Models
Sharma, Misha
Choi, Arthur
PROCEEDINGS OF THE 2024 ACM SOUTHEAST CONFERENCE, ACMSE 2024, 2024, : 302 - 307
[39] On collocations and topic models
Lau, Jey Han
Baldwin, Timothy
Newman, David
ACM Transactions on Speech and Language Processing, 2013, 10 (03):
[40] Probabilistic Topic Models
Blei, David
Carin, Lawrence
Dunson, David
IEEE SIGNAL PROCESSING MAGAZINE, 2010, 27 (06) : 55 - 65

← 1 2 3 4 5 →