A machine learning approach to analyze customer satisfaction from airline tweets

Author:

Kumar Sachin,Zymbler Mikhail

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference41 articles.

1. Number of smart phone users: https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/ . Accessed 06 May 2019.

2. Flight is best mode of travel: https://www.flightnetwork.com/blog/10-reasons-flying-still-best-way-travel/ .s Accessed 06 May 2019.

3. Twitter https://en.wikipedia.org/wiki/Twitter . Accessed 23 Jan 2018.

4. Abel F, Gao Q, Houben G-J, Tao K (2013) Twitter-based user modeling for news recommendations. In: Rossi F

5. (ed) IJCAI 2013, proceedings of the 23rd international joint conference on artificial intelligence, Beijing, China, August 3-9, 2013.IJCAI/AAAI.

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