This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 56 pp. Englisch.

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Bibliographic Details

Title: Visualization for Understanding Trend Pattern of iPhone Customers
Publisher: LAP LAMBERT Academic Publishing Nov 2018
Publication Date: 2018
Language: English
ISBN 10: 6139937035
ISBN 13: 9786139937035
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 102 grams

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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.

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