Ranking online consumer reviews

Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews

In this paper, we dedicate to the topic of aspect ranking, which aims to automatically identify important product aspects from online consumer reviews. The important aspects are identified according to two observations: (a) the important aspects of a product are usually commented by a large number of consumers; and (b) consumers’ opinions on the important aspects greatly influence their overall...

Fraud detection in online consumer reviews

Available online 18 August 2010

Marketing Implications of Online Consumer Product Reviews

Modeling Consumer Learning from Online Product Reviews

W propose a structural model to study the effect of online product reviews on consumer purchases of experiential products. Such purchases are characterized by limited repeat purchase behavior of the same product item (such as a book title) but significant past usage experience with other products of the same type (such as books of the same genre). To cope with the uncertainty in quality of the ...

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...