Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19244
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Christodoulou, Evripides | - |
dc.contributor.author | Gregoriades, Andreas | - |
dc.contributor.author | Pampaka, Maria | - |
dc.contributor.author | Herodotou, Herodotos | - |
dc.date.accessioned | 2020-10-22T06:03:02Z | - |
dc.date.available | 2020-10-22T06:03:02Z | - |
dc.date.issued | 2020-05-16 | - |
dc.identifier.citation | 32nd International Conference on Advanced Information Systems Engineering, 8-12 June 2020, Grenoble, France | en_US |
dc.identifier.isbn | 9783030491642 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/19244 | - |
dc.description.abstract | This paper applies a smart tourism approach to tourist destination marketing campaigns through the analysis of tourists’ reviews from TripAdvisor to identify significant patterns in the data. The proposed method combines topic modelling using Structured Topic Analysis with sentiment polarity, information on culture, and purchasing power of tourists for the development of a Decision Tree (DT) to predict tourists’ experience. For data collection and analysis, several custom-made python scripts were used. Data underwent integration, cleansing, incomplete data processing, and imbalance data treatments prior to being analysed. The patterns that emerged from the DT are expressed in terms of rules that highlight variable combinations leading to negative or positive sentiment. The generated predictive model can be used by destination management to tailor marketing strategy by targeting tourists who are more likely to be satisfied at the destination according to their needs. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © Springer Nature | en_US |
dc.subject | Topic modelling | en_US |
dc.subject | Sentiment analysis | en_US |
dc.subject | Decision tree | en_US |
dc.subject | Tourists’ reviews | en_US |
dc.title | Combination of Topic Modelling and Decision Tree Classification for Tourist Destination Marketing | en_US |
dc.type | Book Chapter | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | University of Manchester | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Natural Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International Conference on Advanced Information Systems Engineering | en_US |
dc.identifier.doi | 10.1007/978-3-030-49165-9_9 | en_US |
dc.identifier.scopus | 2-s2.0-85085513758 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85085513758 | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
cut.common.academicyear | 2019-2020 | en_US |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.openairetype | bookPart | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-7422-1514 | - |
crisitem.author.orcid | 0000-0002-8717-1691 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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