Title of Paper

Insights from Airline Passenger Reviews using Machine Learning

Abstract

In this increasingly digitized world, a large number of goods and services are being sold online. In line with the same, the practice of providing detailed online reviews as well as referring to these reviews before making purchases has gained significant traction. A large number of product reviews by verified buyers are available on e-commerce websites like Amazon and Ebay. While a good amount of research related to machine learning techniques on product reviews by consumers on e-commerce websites is available, not much study has been done on the passenger reviews of airlines. This research attempts to unravel insights from passenger reviews of four large carriers in the United States of America. The study uses Natural Language Processing techniques like topic modelling and general bag of words based approach to mine insights on consumer behaviour using review texts, review score and cabin flown.

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Research paper

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Insights from Airline Passenger Reviews using Machine Learning

In this increasingly digitized world, a large number of goods and services are being sold online. In line with the same, the practice of providing detailed online reviews as well as referring to these reviews before making purchases has gained significant traction. A large number of product reviews by verified buyers are available on e-commerce websites like Amazon and Ebay. While a good amount of research related to machine learning techniques on product reviews by consumers on e-commerce websites is available, not much study has been done on the passenger reviews of airlines. This research attempts to unravel insights from passenger reviews of four large carriers in the United States of America. The study uses Natural Language Processing techniques like topic modelling and general bag of words based approach to mine insights on consumer behaviour using review texts, review score and cabin flown.