論文誌

ストーリー文書を用いたレビュー文書のネタバレ判定

Abstract

Users' review comments in shopping sites are useful for other users to decide whether or not buy the item. While users' comments or opinions are included in the reviews, descriptions about story contents are sometimes included in the reviews toward items with story like novels or movies. In some cases, these descriptions may spoil reader's or viewer's enjoyment and excitement. Hereinafter, we call these descriptions spoilers. Spoilers might be related to the position in the story line. In this study we use story documents that record all of the details of the given story. Using the story documents, we investigate the location to which the content of the spoilers correspond in the story documents. Based on the result of the investigation, we develop a method for detecting spoilers in users' review comments. We compared our proposed method with some baselines that detect spoilers using machine learning techniques with bag of words model. We found that our method performs as well as the baseline. This means that we can detect spoilers in the same level of precision even if we do not have labeled data on spoilers.

Information

Book title

システム制御情報学会論文誌

Volume

32

Issue

3

Pages

87-100

Date of issue

2019/03/15

DOI

https://doi.org/10.5687/iscie.32.87

ISSN

2185-811X

Keywords

reputation information analysis / spoiler detection / review comments / story document / text position

Citation

前田 恭佑, 土方 嘉徳, 中村 聡史, 酒田 信親. ストーリー文書を用いたレビュー文書のネタバレ判定, システム制御情報学会論文誌, Vol.32, Issue.3, pp.87-100, 2019.