Topic detection of online book reviews: Preliminary results

Yunseon Choi; Soohyung Joo

doi:10.1109/JCDL.2019.00098

Topic detection of online book reviews: Preliminary results

Yunseon Choi, Soohyung Joo

School of Information Science

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

7 Scopus citations

Abstract

This study is part of a larger research project which aims to investigate whether online reviews on children's books would represent significant factors which are useful for selecting appropriate books for children. This paper presents the preliminary results on topic detection of online book reviews. Topic modeling using Latent Dirichlet Allocation (LDA) generated several topic terms from online reviews, and we categorized those topic terms into eleven categories. Sentiment analysis was applied to examine the emotional aspects of the reviews. We examined that sentiment words which have a powerful effect on polarity values to determine whether those sentiment words appear as topic words extracted by the LDA topic modeling. The results of our study have a significant implication on understanding user behavior in online book reviews.

Original language	English
Title of host publication	Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019
Editors	Maria Bonn, Dan Wu, Stephen J. Downie, Alain Martaus
Pages	418-419
Number of pages	2
ISBN (Electronic)	9781728115474
DOIs	https://doi.org/10.1109/JCDL.2019.00098
State	Published - Jun 2019
Event	19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 - Urbana-Champaign, United States Duration: Jun 2 2019 → Jun 6 2019

Publication series

Name	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
Volume	2019-June
ISSN (Print)	1552-5996

Conference

Conference	19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019
Country/Territory	United States
City	Urbana-Champaign
Period	6/2/19 → 6/6/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Online reviews
Sentiment analysis
Social media
Topic modeling

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/JCDL.2019.00098

Cite this

Choi, Y., & Joo, S. (2019). Topic detection of online book reviews: Preliminary results. In M. Bonn, D. Wu, S. J. Downie, & A. Martaus (Eds.), Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 (pp. 418-419). Article 8791161 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries; Vol. 2019-June). https://doi.org/10.1109/JCDL.2019.00098

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title = "Topic detection of online book reviews: Preliminary results",

abstract = "This study is part of a larger research project which aims to investigate whether online reviews on children's books would represent significant factors which are useful for selecting appropriate books for children. This paper presents the preliminary results on topic detection of online book reviews. Topic modeling using Latent Dirichlet Allocation (LDA) generated several topic terms from online reviews, and we categorized those topic terms into eleven categories. Sentiment analysis was applied to examine the emotional aspects of the reviews. We examined that sentiment words which have a powerful effect on polarity values to determine whether those sentiment words appear as topic words extracted by the LDA topic modeling. The results of our study have a significant implication on understanding user behavior in online book reviews.",

keywords = "Online reviews, Sentiment analysis, Social media, Topic modeling",

author = "Yunseon Choi and Soohyung Joo",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 ; Conference date: 02-06-2019 Through 06-06-2019",

year = "2019",

month = jun,

doi = "10.1109/JCDL.2019.00098",

language = "English",

series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",

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Choi, Y & Joo, S 2019, Topic detection of online book reviews: Preliminary results. in M Bonn, D Wu, SJ Downie & A Martaus (eds), Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019., 8791161, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, vol. 2019-June, pp. 418-419, 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019, Urbana-Champaign, United States, 6/2/19. https://doi.org/10.1109/JCDL.2019.00098

Topic detection of online book reviews: Preliminary results. / Choi, Yunseon; Joo, Soohyung.
Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019. ed. / Maria Bonn; Dan Wu; Stephen J. Downie; Alain Martaus. 2019. p. 418-419 8791161 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries; Vol. 2019-June).

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

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Topic detection of online book reviews: Preliminary results

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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