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Analyzing Airbnb Customer Experience Feedback Using Text Mining

  • George JosephEmail author
  • Vinu Varghese
Chapter

Abstract

The objective of this chapter is to present a case of text mining on Airbnb user reviews to analyze and understand various aspects that drive customer satisfaction. The study can be extended further to discover segmentation and targeting of spaces that can take customer satisfaction to the next level and can also consider possibilities of geography specific, travel and purpose specific guest and host requirements. We are trying to gain insights about the challenges faced by customers in sharing economy along with ways to develop “super hosts”. Thus, this work will try to advance our understanding about tourism and hospitality industry by presenting a case of big data analyses on Airbnb user reviews.

Keywords

Text mining Airbnb Sentiment analysis Rapid miner Customer feedback 

Supplementary material

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.DDUKK, CUSATCochinIndia
  2. 2.University of RoehamptonLondonUK

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