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

[21] TOPICVIEW: VISUAL ANALYSIS OF TOPIC MODELS AND THEIR IMPACT ON DOCUMENT CLUSTERING
Crossno, Patricia J.
Wilson, Andrew T.
Shead, Timothy M.
Davis, Warren L.
Dunlavy, Daniel M.
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2013, 22 (05)
[22] Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Jelodar, Hamed
Wang, Yongli
Yuan, Chi
Feng, Xia
Jiang, Xiahui
Li, Yanchao
Zhao, Liang
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (11) : 15169 - 15211
[23] Semantic Characterization of Tweets Using Topic Models: A Use Case in the Entertainment Domain
Garcia-Silva, Andres
Rodriguez-Doncel, Victor
Corcho, Oscar
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2013, 9 (03) : 1 - 13
[24] Topic Models from Crash Narrative Reports of Motorcycle Crash Causation Study
Das, Subasish
Dutta, Anandi
Tsapakis, Ioannis
TRANSPORTATION RESEARCH RECORD, 2021, 2675 (09) : 449 - 462
[25] A systematic review of the use of topic models for short text social media analysis
Caitlin Doogan Poet Laureate
Wray Buntine
Henry Linger
Artificial Intelligence Review, 2023, 56 : 14223 - 14255
[26] A systematic review of the use of topic models for short text social media analysis
Laureate, Caitlin Doogan Poet
Buntine, Wray
Linger, Henry
ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (12) : 14223 - 14255
[27] A Method of SNS Topic Models Extraction Based on Self-Adaptively LDA Modeling
Lu, Fei
Shen, Beijun
Lin, Jiuchuan
Zhang, Hanlong
2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA), 2013, : 112 - 115
[28] Originator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis
Zhao, Wayne Xin
Wang, Jinpeng
He, Yulan
Nie, Jian-Yun
Li, Xiaoming
PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13), 2013, : 1649 - 1654
[29] Multi-document Summarization using Probabilistic Topic-based Network Models
Yang, Cheng-Zen
Fan, Jhih-Shang
Liu, Yu-Fan
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2016, 32 (06) : 1613 - 1634
[30] Enhancing topic-detection in computerized assessments of constructed responses with distributional models of language
Martinez-Huertas, Jose A.
Olmos, Ricardo
Leon, Jose A.
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 185

← 1 2 3 4 5 →