Twitter Presence of Jet Airways-Deriving Customer Insights Using Netnography and Wordclouds

被引：18

作者：

Ahuja, Vandana ^{[1
]}

Shakeel, Moonis ^{[1
]}

机构：

[1] Jaypee Business Sch, Sect 62, Noida 201309, UP, India

来源：

5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2017 | 2017年 / 122卷

关键词：

Netnography; Wordclouds; Twitter mining; Sentiment analysis; Internet Research; customer insights;

D O I：

10.1016/j.procs.2017.11.336

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Companies are increasingly using Twitter for brand engagement and visibility. This manuscript focuses on identification of the content typologies being used by Jet Airways on Twitter to solicit Customer Engagement. This has been done, using a technique called Netnography. Subsequently, the manuscript proceeds to derive customer insights from the twitter page of Jet Airways, using wordclouds. The authors further attempt to generate an algorithm for Sentiment Analysis, using the tweets from the Jet Airways Twitter handle. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：17 / 24

页数：8

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