Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19383
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Christodoulou, Evripides | - |
dc.contributor.author | Gregoriades, Andreas | - |
dc.contributor.author | Papapanayides, Savvas | - |
dc.date.accessioned | 2020-11-12T11:23:52Z | - |
dc.date.available | 2020-11-12T11:23:52Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.citation | 22nd International Conference on Enterprise Information Systems, 5-7 May 2020 | en_US |
dc.identifier.isbn | 978-989-758-423-7 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/19383 | - |
dc.description.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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © by SCITEPRESS CC BY-NC-ND 4.0 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Ordinal Logistic Regression | en_US |
dc.subject | Sentiment Analysis | en_US |
dc.subject | Topic Analysis | en_US |
dc.subject | Tourists' Reviews | en_US |
dc.title | A data analytics approach to online tourists' reviews evaluation | en_US |
dc.type | Conference Papers | en_US |
dc.link | https://www.scitepress.org/Link.aspx?doi=10.5220%2f0009361000990105 | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | American University of Bahrain | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.country | Cyprus | en_US |
dc.country | Bahrain | en_US |
dc.subject.field | Natural Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International Conference on Enterprise Information Systems | en_US |
cut.common.academicyear | 2019-2020 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-7422-1514 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ICEIS_2020_61.pdf | Fulltext | 457.61 kB | Adobe PDF | View/Open |
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