Abstract
This study aims to investigate the rice product features using online review mining method. The opinion mining is used to do online review data analyze. High-frequency words were extracted from non-structured online reviews text. Then the rice product features were gotten from the factor analysis on the base of high-frequency words. This provided a new method for product feature analyzing which was based on the data mining of online reviews. The proposed method can be used to compare features of rice products which were in the similar category. It also provided new views for understanding consumer brand knowledge. At the end of this study, the online review of rice products were used to verify the scientificity and rationality of this method.
Highlights
Authoritative statistics from the China Internet Network Information Center shows that online customer reviews are the most important consideration in making purchase decision for online shoppers of all ages
In order to investigate the rice product features mining, this study proposed a new method based on the online opinion mining
The factor scoring equations were: opinion mining of the text have refined the original reviews, there were some thesauruses in the high-frequency words that extracted by the software
Summary
Authoritative statistics from the China Internet Network Information Center shows that online customer reviews are the most important consideration in making purchase decision for online shoppers of all ages. Since Amazon first launched its online reviews system, various retail sites following launched its own review system The reason of these activities is that online reviews can effectively promote product sales and create profits. Opinion mining was a very suitable technology for massive online consumer review information analysis. Consensuses and focus can be extracted from the unstructured reviews and the product features were get form the perspective of consumers. This was good for manufacturers and markers in understanding consumer opinion in a more comprehensive and accurate way. It provides objective basis for improving product performance and making marketing strategies
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