A Data Analytics Approach to Online Tourists' Reviews Evaluation

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.

• Publication year

  2020

• Venue

  International Conference on Enterprise Information Systems

• Publication date

  Unknown publication date

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.5220/0009361000990105
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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