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Wireless Networks
Published in: Wireless Networks 7/2023

01-07-2023

An intelligent box office predictor based on aspect-level sentiment analysis of movie review

Authors: Gelan Yang, Yiyi Xu, Li Tu

Published in: Wireless Networks | Issue 7/2023

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Abstract

Box office is a challenging and crucial task for the movie distributors in decision making. In recent years, movie reviews are widely posted and shared on intelligent multimedia systems and everywhere. In this work, we employ both the metadata of the movie and the sentiment information of the users’ reviews to establish an intelligent predicting model. In the sentiment polarity classification model, a co-attention network-based aspect-level sentiment analysis strategy is developed by using the specific word embedding representations from both the contexts and the aspect. Considering the movie success prediction, a Softmax Discriminant Classifier is used due to its capable of dealing with non-linear issues. The sentiments from review texts, together with the movie information are taken as input variables of the predictor. Experimental outcomes verify the working performance of the proposed method which indicates that our model can be further applied to the sentiment analysis and the predicting of movie success.
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Metadata
Title
An intelligent box office predictor based on aspect-level sentiment analysis of movie review
Authors
Gelan Yang
Yiyi Xu
Li Tu
Publication date
01-07-2023
Publisher
Springer US
Published in
Wireless Networks / Issue 7/2023
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-023-03378-6

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