Simplicity of Positive Reviews and Diversity of Negative Reviews in Hotel Reputation

Sachio Hirokawa, Kiyota Hashimoto

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    抄録

    User's review on products and services is valuable information for both users and providers. The present paper conducted a polarity estimation of 73,589 reviews on hotels in Europe. Users rated one to five points for seven aspects (Value, Rooms, Location, Cleanliness, Check-in, Service, Business, Overall). In this paper, we predicted the polarity (positive/negative) of each aspect by using a machine learning method, SVM (Support Vector Machine), and feature selection, with more than 4 points being positive and less than 3 being negative. As a result, positive reviews with respect to six aspects, other than Business, were able to achieve 74% prediction performance (F-measure) with only 20 feature words. On the other hand, for negative reviews, optimal prediction performance could not be obtained unless almost all words were used, and on average F-measure was only 27%. The results indicate that positive reviews are simple, meanwhile negative reviews are diverse and hard to predict mechanically.

    本文言語英語
    ホスト出版物のタイトル2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781728101644
    DOI
    出版ステータス出版済み - 7 2 2018
    イベント2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Pattaya, タイ
    継続期間: 11 15 201811 17 2018

    出版物シリーズ

    名前2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings

    会議

    会議2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018
    国/地域タイ
    CityPattaya
    Period11/15/1811/17/18

    All Science Journal Classification (ASJC) codes

    • 人工知能
    • コンピュータ サイエンスの応用
    • コンピュータ ビジョンおよびパターン認識
    • ソフトウェア
    • 健康情報学

    フィンガープリント

    「Simplicity of Positive Reviews and Diversity of Negative Reviews in Hotel Reputation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル