A Hybrid On-line Topic Groups Mining Platform

Cheng-Lin Yang; Yun-Heh Chen-Burger

doi:10.1007/978-3-319-19728-9_17

A Hybrid On-line Topic Groups Mining Platform

Cheng-Lin Yang^*, Yun-Heh Chen-Burger

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In recent years, there is a rapid increased use of social networking platforms in the forms of short-text communication. Such communication can be indicative to popular public opinions and may be influential to real-life events. It is worth to identify topic groups from it automatically so it can help the analyst to understand the social network easily. However, due to the short-length of the texts used, the precise meaning and context of such texts are often ambiguous. In this paper, we proposed a hybrid framework, which adapts and extends the text clustering technique that uses Wikipedia as background knowledge. Based on this method, we are able to achieve higher level of precision in identifying the group of messages that has the similar topic.

Original language	English
Title of host publication	Agent and Multi-Agent Systems: Technologies and Applications
Subtitle of host publication	9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings
Editors	Gordon Jezic, Robert J. Howlett, Lakhmi C. Jain
Publisher	Springer
Pages	205-215
Number of pages	11
Volume	Part IV
ISBN (Electronic)	978-3-319-19728-9
ISBN (Print)	978-3-319-19727-2
DOIs	https://doi.org/10.1007/978-3-319-19728-9_17
Publication status	Published - 2015
Event	9th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications - Sorrento, Italy Duration: 17 Jun 2015 → 19 Jun 2015

Publication series

Name	Smart Innovation Systems and Technologies
Publisher	Springer International Publishing
Volume	38
ISSN (Print)	2190-3018

Conference

Conference	9th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications
Abbreviated title	KES-AMSTA 15
Country/Territory	Italy
City	Sorrento
Period	17/06/15 → 19/06/15

Keywords

Social Network Analysis
Micro-blogging System
Machine Learning

Access to Document

10.1007/978-3-319-19728-9_17

Yun-Heh Chen-Burger
- Y.J.ChenBurgerhw.acuk
- School of Mathematical & Computer Sciences - Assistant Professor
- School of Mathematical & Computer Sciences, Computer Science - Assistant Professor
Person: Academic (Teaching)

Cite this

Yang, C-L., & Chen-Burger, Y-H. (2015). A Hybrid On-line Topic Groups Mining Platform. In G. Jezic, R. J. Howlett, & L. C. Jain (Eds.), Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings (Vol. Part IV, pp. 205-215). (Smart Innovation Systems and Technologies; Vol. 38). Springer. https://doi.org/10.1007/978-3-319-19728-9_17

Yang, Cheng-Lin ; Chen-Burger, Yun-Heh. / A Hybrid On-line Topic Groups Mining Platform. Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings. editor / Gordon Jezic ; Robert J. Howlett ; Lakhmi C. Jain. Vol. Part IV Springer, 2015. pp. 205-215 (Smart Innovation Systems and Technologies).

@inproceedings{09626f8d22ba4afbb6e18692f67046fe,

title = "A Hybrid On-line Topic Groups Mining Platform",

abstract = "In recent years, there is a rapid increased use of social networking platforms in the forms of short-text communication. Such communication can be indicative to popular public opinions and may be influential to real-life events. It is worth to identify topic groups from it automatically so it can help the analyst to understand the social network easily. However, due to the short-length of the texts used, the precise meaning and context of such texts are often ambiguous. In this paper, we proposed a hybrid framework, which adapts and extends the text clustering technique that uses Wikipedia as background knowledge. Based on this method, we are able to achieve higher level of precision in identifying the group of messages that has the similar topic.",

keywords = "Social Network Analysis, Micro-blogging System, Machine Learning",

author = "Cheng-Lin Yang and Yun-Heh Chen-Burger",

year = "2015",

doi = "10.1007/978-3-319-19728-9_17",

language = "English",

isbn = "978-3-319-19727-2",

volume = "Part IV",

series = "Smart Innovation Systems and Technologies",

publisher = "Springer",

pages = "205--215",

editor = "Gordon Jezic and Howlett, {Robert J.} and Jain, {Lakhmi C.}",

booktitle = "Agent and Multi-Agent Systems: Technologies and Applications",

note = "9th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 15 ; Conference date: 17-06-2015 Through 19-06-2015",

}

Yang, C-L & Chen-Burger, Y-H 2015, A Hybrid On-line Topic Groups Mining Platform. in G Jezic, RJ Howlett & LC Jain (eds), Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings. vol. Part IV, Smart Innovation Systems and Technologies, vol. 38, Springer, pp. 205-215, 9th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, Sorrento, Italy, 17/06/15. https://doi.org/10.1007/978-3-319-19728-9_17

A Hybrid On-line Topic Groups Mining Platform. / Yang, Cheng-Lin; Chen-Burger, Yun-Heh.

Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings. ed. / Gordon Jezic; Robert J. Howlett; Lakhmi C. Jain. Vol. Part IV Springer, 2015. p. 205-215 (Smart Innovation Systems and Technologies; Vol. 38).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Hybrid On-line Topic Groups Mining Platform

AU - Yang, Cheng-Lin

AU - Chen-Burger, Yun-Heh

PY - 2015

Y1 - 2015

N2 - In recent years, there is a rapid increased use of social networking platforms in the forms of short-text communication. Such communication can be indicative to popular public opinions and may be influential to real-life events. It is worth to identify topic groups from it automatically so it can help the analyst to understand the social network easily. However, due to the short-length of the texts used, the precise meaning and context of such texts are often ambiguous. In this paper, we proposed a hybrid framework, which adapts and extends the text clustering technique that uses Wikipedia as background knowledge. Based on this method, we are able to achieve higher level of precision in identifying the group of messages that has the similar topic.

AB - In recent years, there is a rapid increased use of social networking platforms in the forms of short-text communication. Such communication can be indicative to popular public opinions and may be influential to real-life events. It is worth to identify topic groups from it automatically so it can help the analyst to understand the social network easily. However, due to the short-length of the texts used, the precise meaning and context of such texts are often ambiguous. In this paper, we proposed a hybrid framework, which adapts and extends the text clustering technique that uses Wikipedia as background knowledge. Based on this method, we are able to achieve higher level of precision in identifying the group of messages that has the similar topic.

KW - Social Network Analysis

KW - Micro-blogging System

KW - Machine Learning

U2 - 10.1007/978-3-319-19728-9_17

DO - 10.1007/978-3-319-19728-9_17

M3 - Conference contribution

SN - 978-3-319-19727-2

VL - Part IV

T3 - Smart Innovation Systems and Technologies

SP - 205

EP - 215

BT - Agent and Multi-Agent Systems: Technologies and Applications

A2 - Jezic, Gordon

A2 - Howlett, Robert J.

A2 - Jain, Lakhmi C.

PB - Springer

T2 - 9th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications

Y2 - 17 June 2015 through 19 June 2015

ER -

Yang C-L, Chen-Burger Y-H. A Hybrid On-line Topic Groups Mining Platform. In Jezic G, Howlett RJ, Jain LC, editors, Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings. Vol. Part IV. Springer. 2015. p. 205-215. (Smart Innovation Systems and Technologies). doi: 10.1007/978-3-319-19728-9_17

A Hybrid On-line Topic Groups Mining Platform

Abstract

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Keywords

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Yun-Heh Chen-Burger

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