Extracting Customer Reviews from Online Shopping and Its Perspective on Product Design
نویسندگان
چکیده
منابع مشابه
Extracting Product Features from Online Consumer Reviews
The exponential growth of user-generated content in online environment calls for techniques that can help to make sense of the content. Despite of a host of research on online consumer reviews, there is still a great demand for research to improve the techniques for feature extraction. To this end, we proposed extraction methods based on detailed categorization of review features. By taking int...
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With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, this paper describes the details of our language resources, and imports them into the task of extracting product feature and sentiment task. Different from the traditional unsupervised methods, a supervised method is util...
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Product text snippets should highlight the product features that are appealing to customers. Nevertheless, the features in current product snippets mainly are often decided based on the understanding of vendors or advertisers, and may fail to contain the features appealing to customers. This paper investigates how product text snippets generation can benefit from online customer reviews. In doi...
متن کاملExtracting Product Features and Opinions from Reviews
Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers, and their relative quality across products. Compared to previous work, OPINE achieves 22% higher precision...
متن کاملUnderstanding the Value of Online Customer Reviews: The Channel Perspective
The growing popularity of user-generated contents in the electronic commerce industry has allowed online customer reviews (OCRs) to play an increasingly important role in the customer decision-making process. The influences of OCRs have been studied extensively by academic researchers and industry practitioners from the customer side, whereas this study provides a complementary analysis of the ...
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ژورنال
عنوان ژورنال: Vietnam Journal of Computer Science
سال: 2019
ISSN: 2196-8888,2196-8896
DOI: 10.1142/s2196888819500088