Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19383
Title: | A data analytics approach to online tourists' reviews evaluation | Authors: | Christodoulou, Evripides Gregoriades, Andreas Papapanayides, Savvas |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Ordinal Logistic Regression;Sentiment Analysis;Topic Analysis;Tourists' Reviews | Issue Date: | May-2020 | Source: | 22nd International Conference on Enterprise Information Systems, 5-7 May 2020 | Link: | https://www.scitepress.org/Link.aspx?doi=10.5220%2f0009361000990105 | Conference: | International Conference on Enterprise Information Systems | Abstract: | 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 Naïve 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. | URI: | https://hdl.handle.net/20.500.14279/19383 | ISBN: | 978-989-758-423-7 | Rights: | © by SCITEPRESS CC BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Conference Papers | Affiliation : | Cyprus University of Technology American University of Bahrain |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
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ICEIS_2020_61.pdf | Fulltext | 457.61 kB | Adobe PDF | View/Open |
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