Open AccessRating of Various Indian Airlines on various parameters using Twitter Data
Author(s) -
Hitendra Garg
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1116/1/012122
Subject(s) - social media , product (mathematics) , work (physics) , service (business) , jet (fluid) , value (mathematics) , business , quality (philosophy) , computer science , marketing , engineering , mathematics , world wide web , mechanical engineering , philosophy , geometry , epistemology , machine learning , aerospace engineering
In today’s world, e-commerce markets runs on the sentiments of the customers as they provides real feedback of the products or services. In such scenario, the companies tries to collect data from different social media platform like instagram, Facebook, twitter, and other sites where customers places their reviews and feedback about their experience on various parameters. These organizations analyze these data as per their requirements for market analysis, recommendation systems, feedback of the product/service, sentimental analysis etc. In this proposed work, feedback/reviews of various Indian airlines like Air-India, Indigo, Go-Air, Jet airways, Spice-Jet.is collected from twitter to rate the airlines services on various parameters like food quality, staff, delay in time, turbulence, aircraft condition and value for money parameters.