A machine learning approach to analyze customer satisfaction from airline tweets

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...

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Bibliographic Details
Main Authors: Sachin Kumar, Mikhail Zymbler
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Journal of Big Data
Subjects:
Twitter
Machine learning
Convolutional neural network
Association analysis
Customer satisfaction
Online Access:http://link.springer.com/article/10.1186/s40537-019-0224-1

Internet

http://link.springer.com/article/10.1186/s40537-019-0224-1

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