A Data Analytics Approach to Online Tourists' Reviews Evaluation

被引：1

作者：

Christodoulou, Evripides ^{[1
]}

Gregoriades, Andreas ^{[1
]}

Papapanayides, Savvas ^{[2
]}

机构：

[1] Cyprus Univ Technol, Limassol, Cyprus

[2] Amer Univ Bahrain, Riffa, Bahrain

来源：

PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1 | 2020年

关键词：

Sentiment Analysis; Ordinal Logistic Regression; Topic Analysis; Tourists' Reviews; PER-CAPITA; CUSTOMER; TWITTER;

D O I：

10.5220/0009361000990105

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper utilizes online data of tourists' reviews from TripAdvisor to identify patterns with regards to sentiment and topics discussed by tourists that visit Cyprus, along with the investigation of the effect of tourist culture and purchasing power on reviews' polarity, using logistic regression. The analysis uses natural language processing using the LDA technique and Naive Bayes sentiment analysis. For the data collection, custom-made python scripts were used. Ordinal logistic regression is used to identify differences among the types of tourists visiting Cyprus, in accordance to culture and purchasing power.

引用

页码：99 / 105

页数：7

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