A machine learning approach to analyze customer satisfaction from airline tweets
Abstract Customer’s experience is one of the important concern for airline industries. Twitter is one of the popular social media platform where flight travelers share their feedbacks in the form of tweets. This study presents a machine learning approach to analyze the tweets to improve the customer...
Main Authors: | Sachin Kumar, Mikhail Zymbler |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-07-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40537-019-0224-1 |
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