Analyzing the success factors of movie box-office using customer reviews with topic analysis

Zeng Jing; Ho Yeon Park; Dong Ho Kim; Kyoung Jae Kim

doi:10.17654/HMSI120065

Analyzing the success factors of movie box-office using customer reviews with topic analysis

Zeng Jing, Ho Yeon Park, Dong Ho Kim, Kyoung Jae Kim

Dongguk University

Research output: Contribution to journal › Article › peer-review

Abstract

The film review website has evaluated and rated the film through several movie fan registration member accounts, thus forming a mode of offline viewing and online evaluation. The online commentary of the movie is analyzed by the latent Dirichlet allocation model, and the topics have been obtained by the experiment named as the seven emotions of the viewers.

Original language	English
Pages (from-to)	65-70
Number of pages	6
Journal	JP Journal of Heat and Mass Transfer
Volume	2020
Issue number	Special Issue 1
DOIs	https://doi.org/10.17654/HMSI120065
State	Published - 2020

Keywords

Latent Dirichlet allocation
Movie box-office success
Text mining
topic modeling

Access to Document

10.17654/HMSI120065

Cite this

@article{92ed6f5ebb6b49d3a7939fdabd4e40ee,

title = "Analyzing the success factors of movie box-office using customer reviews with topic analysis",

abstract = "The film review website has evaluated and rated the film through several movie fan registration member accounts, thus forming a mode of offline viewing and online evaluation. The online commentary of the movie is analyzed by the latent Dirichlet allocation model, and the topics have been obtained by the experiment named as the seven emotions of the viewers.",

keywords = "Latent Dirichlet allocation, Movie box-office success, Text mining, topic modeling",

author = "Zeng Jing and Park, {Ho Yeon} and Kim, {Dong Ho} and Kim, {Kyoung Jae}",

note = "Publisher Copyright: {\textcopyright} 2020 Pushpa Publishing House, Prayagraj, India.",

year = "2020",

doi = "10.17654/HMSI120065",

language = "English",

volume = "2020",

pages = "65--70",

journal = "JP Journal of Heat and Mass Transfer",

issn = "0973-5763",

publisher = "Pushpa Publishing House",

number = "Special Issue 1",

}

TY - JOUR

T1 - Analyzing the success factors of movie box-office using customer reviews with topic analysis

AU - Jing, Zeng

AU - Park, Ho Yeon

AU - Kim, Dong Ho

AU - Kim, Kyoung Jae

PY - 2020

Y1 - 2020

N2 - The film review website has evaluated and rated the film through several movie fan registration member accounts, thus forming a mode of offline viewing and online evaluation. The online commentary of the movie is analyzed by the latent Dirichlet allocation model, and the topics have been obtained by the experiment named as the seven emotions of the viewers.

AB - The film review website has evaluated and rated the film through several movie fan registration member accounts, thus forming a mode of offline viewing and online evaluation. The online commentary of the movie is analyzed by the latent Dirichlet allocation model, and the topics have been obtained by the experiment named as the seven emotions of the viewers.

KW - Latent Dirichlet allocation

KW - Movie box-office success

KW - Text mining

KW - topic modeling

UR - http://www.scopus.com/inward/record.url?scp=85086019866&partnerID=8YFLogxK

U2 - 10.17654/HMSI120065

DO - 10.17654/HMSI120065

M3 - Article

AN - SCOPUS:85086019866

SN - 0973-5763

VL - 2020

SP - 65

EP - 70

JO - JP Journal of Heat and Mass Transfer

JF - JP Journal of Heat and Mass Transfer

IS - Special Issue 1

ER -

Analyzing the success factors of movie box-office using customer reviews with topic analysis

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this