A Data Analytics Approach to Online Tourists’ Reviews Evaluation

Evripides Christodoulou, Andreas Gregoriades, Savvas Papapanayides

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.

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Paper Citation


in Harvard Style

Christodoulou E., Gregoriades A. and Papapanayides S. (2020). A Data Analytics Approach to Online Tourists’ Reviews Evaluation.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 99-105. DOI: 10.5220/0009361000990105


in Bibtex Style

@conference{iceis20,
author={Evripides Christodoulou and Andreas Gregoriades and Savvas Papapanayides},
title={A Data Analytics Approach to Online Tourists’ Reviews Evaluation},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={99-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009361000990105},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Data Analytics Approach to Online Tourists’ Reviews Evaluation
SN - 978-989-758-423-7
AU - Christodoulou E.
AU - Gregoriades A.
AU - Papapanayides S.
PY - 2020
SP - 99
EP - 105
DO - 10.5220/0009361000990105