DocumentCode :
264427
Title :
Star Ratings versus Sentiment Analysis -- A Comparison of Explicit and Implicit Measures of Opinions
Author :
Lak, Parisa ; Turetken, Ozgur
fYear :
2014
fDate :
6-9 Jan. 2014
Firstpage :
796
Lastpage :
805
Abstract :
A typical trade-off in decision making is between the cost of acquiring information and the decline in decision quality caused by insufficient information. Consumers regularly face this trade-off in purchase decisions. Online product/service reviews serve as sources of product/service related information. Meanwhile, modern technology has led to an abundance of such content, which makes it prohibitively costly (if possible at all) to exhaust all available information. Consumers need to decide what subset of available information to use. Star ratings are excellent cues for this decision as they provide a quick indication of the tone of a review. However there are cases where such ratings are not available or detailed enough. Sentiment analysis -text analytic techniques that automatically detect the polarity of text- can help in these situations with more refined analysis. In this study, we compare sentiment analysis results with star ratings in three different domains to explore the promise of this technique.
Keywords :
Internet; consumer behaviour; decision making; text analysis; decision making; decision quality; explicit opinion measures; implicit opinion measures; online product-service reviews; product-service related information; purchase decisions; sentiment analysis; star ratings; text analytic techniques; Accuracy; Blogs; Correlation; Medical services; Software; Tagging; Uncertainty; comparative analysis; opinion mining; sentiment analysis; star ratings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/HICSS.2014.106
Filename :
6758702
Link To Document :
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