OpinionSeer : Interactive Visualization of Hotel Customer Feedback. Presented, Kane @2013-6-28. IEEE Transactions on Visualization and Computer Graphics Vol. 16, no. 6, 2010 Monthly since 2012 About the Authors Huamin Qu: http://www.huamin.org/ Yingcai Wu:
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
OpinionSeer: Interactive Visualization of Hotel Customer Feedback
1) Most of current Researches are visualizations based on the final mining results, not the process of visually examining and analyzing the feedbacks.
2) Current opinion visualization tools are not from multiple aspects which is essential for analysts to make a quick decision.
3) Cannot support the complex opinion visualization.
4) Count not the uncertainty or inaccuracy, which lead to wrong conclusions.
Q.1 How is the deviation of a group of opinions from the average?
Q.2 How could several groups of opinions be compared effectively?
Q.3 How do people’s backgrounds affect their opinions on a hotel or a certain group of hotels?
Q.4 What are the differences in the cultural background of two groups of customers who hold similar or different opinions?
Q.5 Is there any conﬂict between free-text comments and the score ratings, e.g., a good review with low ratings?
Q.6 Are there any localization or geography patterns regarding user opinions on a hotel or a certain group of hotels?
Q.7 Are there any temporal patterns regarding the users opinions?
an equilateral triangle.
 R. Kosara, F. Bendix, and H. Hauser. Parallel Sets: Interactive exploration
and visual analysis of categorical data. IEEE Transactions on Visualiza-
tion and Computer Graphics, 12(4):558–568, 2006.