Electronic word-of-mouth effects on studio performance leveraging attention-based model

Liu, Yang and Fei, Hao and Zeng, Qingguo and Li, Bobo and Ma, Lili and Ji, Donghong and Ordieres-Meré, Joaquín (2020). Electronic word-of-mouth effects on studio performance leveraging attention-based model. "Neural Computing & Applications", v. 2020 ; pp. 1-22. ISSN 0941-0643. https://doi.org/10.1007/s00521-020-04937-0.

Description

Title: Electronic word-of-mouth effects on studio performance leveraging attention-based model
Author/s:
  • Liu, Yang
  • Fei, Hao
  • Zeng, Qingguo
  • Li, Bobo
  • Ma, Lili
  • Ji, Donghong
  • Ordieres-Meré, Joaquín
Item Type: Article
Título de Revista/Publicación: Neural Computing & Applications
Date: April 2020
ISSN: 0941-0643
Volume: 2020
Subjects:
Freetext Keywords: Electronic word-of-mouth; Audience review; Stock market; Deep learning; Attention mechanism
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

While existing studies have established the relationship between electronic word-of-mouth (eWOM) and studio performance, limited research has been conducted to demonstrate how the attention-based model applies to the motion pictureindustry. In this study, examining a review corpus of seven Hollywood studios, we proved that deep learning with theattention mechanism has the best accuracy in both eWOM and stock price movement. We present both a hierarchical two-layer attention network and hierarchical convoluted attention network (HCAN), which quantify the importance of crucialeWOM features in capturing valuable information from audience members’ reviews. Further, comparing the two casestudies, we determined that the HCAN model is superior to both machine learning and attention-based models. Our workhelps to highlight the business value of the attention-based model and has implications for studio business decisions.

Funding Projects

TypeCodeAcronymLeaderTitle
Unspecified201508390019UnspecifiedChina Scholarship CouncilUnspecified

More information

Item ID: 62512
DC Identifier: http://oa.upm.es/62512/
OAI Identifier: oai:oa.upm.es:62512
DOI: 10.1007/s00521-020-04937-0
Official URL: https://link.springer.com/article/10.1007/s00521-020-04937-0
Deposited by: Memoria Investigacion
Deposited on: 19 May 2020 15:38
Last Modified: 19 May 2020 15:38
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