On exploring airline service features from massive online review

Abstract

In this work, we propose a research framework to exploring the useful information about airline service from massive online reviews, especially, the airline service features from the customer perspective. The experimental results indicate that the proposed methods can extract information about customers' opinion about the airline service features. The common concerns as well as special features for different airline company can also be extracted efficiently from the massive online review data.