[1]QIN Haifei,DU Junping.Feature mining based on online hotel review[J].CAAI Transactions on Intelligent Systems,2018,13(6):1006-1014.[doi:10.11992/tis.201806016]
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Feature mining based on online hotel review

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 13 Number of periods: 2018 6 Page number: 1006-1014 Column: 学术论文—人工智能基础 Public date: 2018-10-25
Title:
Feature mining based on online hotel review
Author(s):
QIN Haifei1;  DU Junping2
1. School of Information Science and Technology, Chuxiong Normal University, Chuxiong 675000, China;
2. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
Keywords:
hotel; online review; data capture; feature extract; feature mining; cluster analysis; classification; intelligent recommendation
CLC:
TP391
DOI:
10.11992/tis.201806016
Abstract:
In this study, the feature mining of online hotel review data is investigated. First, online hotel reviews data were obtained. To mine features from the review data, data cleaning, part-of-speech analysis, feature extraction, index determination, feature selection, feature determination, feature checking were carried out. Based on the word frequency, integrating part-of-speech analysis, and cluster analysis, the word frequency (TF), word frequency rate (TF1), word frequency weight (TTW), comment frequency (DF), inverse document frequency (IDF), and TF1-IDF of candidate feature words were applied to reduce dimension. The online hotel review data features were obtained, and then the feature words were verified. This paper will lay a solid foundation for the classification of hotels and customers and intelligent recommendation based on online reviews.
References:
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