Automatic Twitter topic summarization

Dunwei Wen; Geoffrey Marshall

doi:10.1109/CSE.2014.69

Automatic Twitter topic summarization

Dunwei Wen, Geoffrey Marshall

School of Computing and Information systems

Athabasca University

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This paper aims to generate digests of tweets from live trending and ongoing topics. The primary purpose is to group the tweets by importance or usefulness so that an end user can be presented with a reasonable extract of the most important content from the Twitter stream. Summarization is accomplished using a non-parametric Bayesian model applied to Hidden Markov Models and a novel observation model designed to allow ranking based on selected predictive characteristics of individual tweets.

Original language	English
Title of host publication	Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
Editors	Xingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
Pages	207-212
Number of pages	6
ISBN (Electronic)	9781479979813
DOIs	https://doi.org/10.1109/CSE.2014.69
Publication status	Published - 26 Jan. 2015
Event	17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 - Chengdu, China Duration: 19 Dec. 2014 → 21 Dec. 2014

Publication series

Name	Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

Conference

Conference	17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
Country/Territory	China
City	Chengdu
Period	19/12/14 → 21/12/14

Keywords

Dirichlet process
HDP-HMM
Microblog summarization
Twitter

Access to Document

10.1109/CSE.2014.69

Cite this

Wen, D., & Marshall, G. (2015). Automatic Twitter topic summarization. In X. Liu, D. El Baz, C.-H. Hsu, K. Kang, & W. Chen (Eds.), Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 (pp. 207-212). Article 07023580 (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014). https://doi.org/10.1109/CSE.2014.69

Wen, Dunwei ; Marshall, Geoffrey. / Automatic Twitter topic summarization. Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014. editor / Xingang Liu ; Didier El Baz ; Ching-Hsien Hsu ; Kai Kang ; Weifeng Chen. 2015. pp. 207-212 (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014).

@inproceedings{ffd48058872f49d889d0414248dd6e2d,

title = "Automatic Twitter topic summarization",

abstract = "This paper aims to generate digests of tweets from live trending and ongoing topics. The primary purpose is to group the tweets by importance or usefulness so that an end user can be presented with a reasonable extract of the most important content from the Twitter stream. Summarization is accomplished using a non-parametric Bayesian model applied to Hidden Markov Models and a novel observation model designed to allow ranking based on selected predictive characteristics of individual tweets.",

keywords = "Dirichlet process, HDP-HMM, Microblog summarization, Twitter",

author = "Dunwei Wen and Geoffrey Marshall",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 ; Conference date: 19-12-2014 Through 21-12-2014",

year = "2015",

month = jan,

day = "26",

doi = "10.1109/CSE.2014.69",

language = "English",

series = "Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014",

pages = "207--212",

editor = "Xingang Liu and {El Baz}, Didier and Ching-Hsien Hsu and Kai Kang and Weifeng Chen",

booktitle = "Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014",

}

Wen, D & Marshall, G 2015, Automatic Twitter topic summarization. in X Liu, D El Baz, C-H Hsu, K Kang & W Chen (eds), Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014., 07023580, Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014, pp. 207-212, 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014, Chengdu, China, 19/12/14. https://doi.org/10.1109/CSE.2014.69

Automatic Twitter topic summarization. / Wen, Dunwei; Marshall, Geoffrey.
Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014. ed. / Xingang Liu; Didier El Baz; Ching-Hsien Hsu; Kai Kang; Weifeng Chen. 2015. p. 207-212 07023580 (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

TY - GEN

T1 - Automatic Twitter topic summarization

AU - Wen, Dunwei

AU - Marshall, Geoffrey

PY - 2015/1/26

Y1 - 2015/1/26

N2 - This paper aims to generate digests of tweets from live trending and ongoing topics. The primary purpose is to group the tweets by importance or usefulness so that an end user can be presented with a reasonable extract of the most important content from the Twitter stream. Summarization is accomplished using a non-parametric Bayesian model applied to Hidden Markov Models and a novel observation model designed to allow ranking based on selected predictive characteristics of individual tweets.

AB - This paper aims to generate digests of tweets from live trending and ongoing topics. The primary purpose is to group the tweets by importance or usefulness so that an end user can be presented with a reasonable extract of the most important content from the Twitter stream. Summarization is accomplished using a non-parametric Bayesian model applied to Hidden Markov Models and a novel observation model designed to allow ranking based on selected predictive characteristics of individual tweets.

KW - Dirichlet process

KW - HDP-HMM

KW - Microblog summarization

KW - Twitter

UR - http://www.scopus.com/inward/record.url?scp=84925249778&partnerID=8YFLogxK

U2 - 10.1109/CSE.2014.69

DO - 10.1109/CSE.2014.69

M3 - Published Conference contribution

AN - SCOPUS:84925249778

T3 - Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

SP - 207

EP - 212

BT - Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

A2 - Liu, Xingang

A2 - El Baz, Didier

A2 - Hsu, Ching-Hsien

A2 - Kang, Kai

A2 - Chen, Weifeng

T2 - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

Y2 - 19 December 2014 through 21 December 2014

ER -

Wen D, Marshall G. Automatic Twitter topic summarization. In Liu X, El Baz D, Hsu CH, Kang K, Chen W, editors, Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014. 2015. p. 207-212. 07023580. (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014). doi: 10.1109/CSE.2014.69

Automatic Twitter topic summarization

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this