DocumentCode :
3723276
Title :
An Investigation of Effectiveness Using Topic Information Order to Classify Tourists Reviews
Author :
Shogo Nakamura;Makoto Okada;Kiyota Hashimoto
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
fYear :
2015
Firstpage :
94
Lastpage :
97
Abstract :
The Sentiment analysis targeted customer reviews is an active research field in recent years. Customer reviews contain various topics that closely related to interest of reviewer and situation of utilization. Using this relation, it will be possible to show readers information that fits in interest of them. We collected customer reviews from a tourism information web site, estimate topics in the customer reviews by applying LDA and estimate that customer reviews was whether positive or negative.
Keywords :
"Boosting","Classification algorithms","Resource management","Machine learning algorithms","Decision trees"
Publisher :
ieee
Conference_Titel :
Computer Application Technologies (CCATS), 2015 International Conference on
Type :
conf
DOI :
10.1109/CCATS.2015.32
Filename :
7372322
Link To Document :
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