Visualization for Understanding Trend Pattern of iPhone Customers
(Sprache: Englisch)
Any organization that is driven by the needs and wants of customers has to understand customer behavior from any media. Twitter is becoming one of the most popular social media in the world. Nowadays, many third-party applications of Twitter have been...
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Any organization that is driven by the needs and wants of customers has to understand customer behavior from any media. Twitter is becoming one of the most popular social media in the world. Nowadays, many third-party applications of Twitter have been making customers freely to share their opinions anywhere and anytime. However, it is difficult to understand the change of customer behavior, because the tweet is posted in erratic likelihood. Therefore, visualizing the time pattern of customer emotion behavior on Twitter can play a crucial role in decision-making. Available data visualizing tools, such as D3.js, motivate us to develop and to explore time dimension of Twitter data in 2D visualization.
Autoren-Porträt von Chuan-kai Yang, Renny Pradina Kusumawardani
Ma'ady, Mochamad Nizar PalefiM. Nizar P. Ma'ady has completed fast-track program of bachelor and master degrees in the subject of Information Systems at ITS, Indonesia, and NTUST, Taiwan. Currently, he is pursuing doctor degree in the Department of Industrial Management, at National Taiwan University of Science and Technology (NTUST).
Bibliographische Angaben
- Autoren: Chuan-kai Yang , Renny Pradina Kusumawardani
- 2018, 56 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139937035
- ISBN-13: 9786139937035
Sprache:
Englisch
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