Visual trend analysis method for ontology based opinion mining on movie reviews

Seongmin Mun; Ginam Kim; Gyeongcheol Choi; Kyungwon Lee

Visual trend analysis method for ontology based opinion mining on movie reviews

Seongmin Mun
, Ginam Kim
, Gyeongcheol Choi
, Kyungwon Lee

Department of English Language & Literature

Ajou University

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

Abstract

The rapid development of the Web 2.0 era has generated a huge amount of online word-of-mouth information, which has influenced the society in various fields. Effects of Word of Mouth on movies, in particular, has become the new standards to evaluate a movie that affects potential audiences' decision. Therefore, this research proposes a methodology to analyze the responses of movie audiences in two ways; overall regardless of time flow and trending which reflects the changes of audience opinions over time. Review analysis was conducted through ontology followed by opinion mining, further visualized via polar chart network, clustering and timeline. Visualization designed in this process is presented in "http://54.255.190.140/index/v0".

Original language	English
Title of host publication	Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
Editors	Luis Rodrigues, Ajith P. Abraham, Jorg Roth, Piet Kommers
Publisher	IADIS
Pages	287-290
Number of pages	4
ISBN (Electronic)	9789898533548
State	Published - 2016
Event	2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016 - Madeira, Portugal Duration: 1 Jul 2016 → 4 Jul 2016

Publication series

Name	Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

Conference

Conference	2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016
Country/Territory	Portugal
City	Madeira
Period	1/07/16 → 4/07/16

Keywords

Clustering
Data Visualization
Network
Ontology
Opinion
Polarity

Cite this

Mun, S., Kim, G., Choi, G., & Lee, K. (2016). Visual trend analysis method for ontology based opinion mining on movie reviews. In L. Rodrigues, A. P. Abraham, J. Roth, & P. Kommers (Eds.), Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (pp. 287-290). (Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016). IADIS.

Mun, Seongmin ; Kim, Ginam ; Choi, Gyeongcheol et al. / Visual trend analysis method for ontology based opinion mining on movie reviews. Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. editor / Luis Rodrigues ; Ajith P. Abraham ; Jorg Roth ; Piet Kommers. IADIS, 2016. pp. 287-290 (Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016).

@inproceedings{5977949601444b219cf90a6c36fcc927,

title = "Visual trend analysis method for ontology based opinion mining on movie reviews",

abstract = "The rapid development of the Web 2.0 era has generated a huge amount of online word-of-mouth information, which has influenced the society in various fields. Effects of Word of Mouth on movies, in particular, has become the new standards to evaluate a movie that affects potential audiences' decision. Therefore, this research proposes a methodology to analyze the responses of movie audiences in two ways; overall regardless of time flow and trending which reflects the changes of audience opinions over time. Review analysis was conducted through ontology followed by opinion mining, further visualized via polar chart network, clustering and timeline. Visualization designed in this process is presented in {"}http://54.255.190.140/index/v0{"}.",

keywords = "Clustering, Data Visualization, Network, Ontology, Opinion, Polarity",

author = "Seongmin Mun and Ginam Kim and Gyeongcheol Choi and Kyungwon Lee",

note = "Publisher Copyright: {\textcopyright} 2016.; 2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016 ; Conference date: 01-07-2016 Through 04-07-2016",

year = "2016",

language = "English",

series = "Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016",

publisher = "IADIS",

pages = "287--290",

editor = "Luis Rodrigues and Abraham, \{Ajith P.\} and Jorg Roth and Piet Kommers",

booktitle = "Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016",

}

Mun, S, Kim, G, Choi, G & Lee, K 2016, Visual trend analysis method for ontology based opinion mining on movie reviews. in L Rodrigues, AP Abraham, J Roth & P Kommers (eds), Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016, IADIS, pp. 287-290, 2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016, Madeira, Portugal, 1/07/16.

Visual trend analysis method for ontology based opinion mining on movie reviews. / Mun, Seongmin; Kim, Ginam; Choi, Gyeongcheol et al.
Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. ed. / Luis Rodrigues; Ajith P. Abraham; Jorg Roth; Piet Kommers. IADIS, 2016. p. 287-290 (Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016).

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

TY - GEN

T1 - Visual trend analysis method for ontology based opinion mining on movie reviews

AU - Mun, Seongmin

AU - Kim, Ginam

AU - Choi, Gyeongcheol

AU - Lee, Kyungwon

PY - 2016

Y1 - 2016

N2 - The rapid development of the Web 2.0 era has generated a huge amount of online word-of-mouth information, which has influenced the society in various fields. Effects of Word of Mouth on movies, in particular, has become the new standards to evaluate a movie that affects potential audiences' decision. Therefore, this research proposes a methodology to analyze the responses of movie audiences in two ways; overall regardless of time flow and trending which reflects the changes of audience opinions over time. Review analysis was conducted through ontology followed by opinion mining, further visualized via polar chart network, clustering and timeline. Visualization designed in this process is presented in "http://54.255.190.140/index/v0".

AB - The rapid development of the Web 2.0 era has generated a huge amount of online word-of-mouth information, which has influenced the society in various fields. Effects of Word of Mouth on movies, in particular, has become the new standards to evaluate a movie that affects potential audiences' decision. Therefore, this research proposes a methodology to analyze the responses of movie audiences in two ways; overall regardless of time flow and trending which reflects the changes of audience opinions over time. Review analysis was conducted through ontology followed by opinion mining, further visualized via polar chart network, clustering and timeline. Visualization designed in this process is presented in "http://54.255.190.140/index/v0".

KW - Clustering

KW - Data Visualization

KW - Network

KW - Ontology

KW - Opinion

KW - Polarity

UR - https://www.scopus.com/pages/publications/85040235476

M3 - Conference contribution

AN - SCOPUS:85040235476

T3 - Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

SP - 287

EP - 290

BT - Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

A2 - Rodrigues, Luis

A2 - Abraham, Ajith P.

A2 - Roth, Jorg

A2 - Kommers, Piet

PB - IADIS

T2 - 2017 International Conferences on Information and Communication Technology, Society, and Human Beings, ICT 2016, Web Based Communities and Social Media, WBC 2016, Big Data Analytics, Data Mining and Computational Intelligence, BIGDACI 2016 and Theory and Practice in Modern Computing, TPMC 2016

Y2 - 1 July 2016 through 4 July 2016

ER -

Mun S, Kim G, Choi G, Lee K. Visual trend analysis method for ontology based opinion mining on movie reviews. In Rodrigues L, Abraham AP, Roth J, Kommers P, editors, Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. IADIS. 2016. p. 287-290. (Proceedings of the International Conferences on ICT, Society, and Human Beings 2016, Web Based Communities and Social Media 2016, Big Data Analytics, Data Mining and Computational Intelligence 2016 and Theory and Practice in Modern Computing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016).

Visual trend analysis method for ontology based opinion mining on movie reviews

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this