As one of the world’s largest online retailers, Amazon.com has a sales volume of tens of billions dollars and as a result huge amounts of customer reviews accumulate. These reviews are great learning samples which could help promote commercial prediction and advertisement. Our project aims to build a multiclass classifier based on the customer reviews which are labeled by product categories in ...

We investigate the use of language in food writing, specifically on restaurant menus and in customer reviews. Our approach is to build predictive models of concrete external variables, such as restaurant menu prices. We make use of a dataset of menus and customer reviews for thousands of restaurants in several U.S. cities. By focusing on prediction tasks and doing our analysis at scale, our met...

Automatic extraction of features from unstructured text is one of the challenging problems of Opinion Mining. The trend of getting products and services reputation from online resources such as web blogs and customer feedback is increasing day by day. Therefore efficient system is required to automatically extract products features and the opinion of consumers about all aspects of the products....

This paper describes an approach for classifying web pages into those containing customer reviews and those not containing customer reviews. The reviews found in this way can then be used as input for opinion-mining systems, which deal with the extraction and classification of opinions in written text. A first evaluation with 91% accuracy indicates a promising approach. In: H.-C. Hobohm (Hrsg.)...

This study assesses the influence of managerial responses to online customer reviews on product sales. We leverage a natural experiment provided by two online travel agencies. Both agents allow customers to post reviews on hotels, but only one of the travel agents allows hotel management to post managerial responses. Using a difference-in-difference approach, we find that managerial responses h...

How to cite this book review: How to cite this book review: Huchzermeyer K.D.A., 2013, 'Book review: Ziekten van vissen, schaal-, en schelpdieren, van belang voor de Nederlandse aquacultuur'84(1), Art. #1016, 1 page.http://dx.doi.org/10.4102/jsava.v84i1.1016.

For aspect-level sentiment analysis, the important first step is to identify the aspects and their associated entities present in customer reviews. Aspects can be either explicit or implicit, where the identification of the latter is more difficult. For restaurant reviews, this difficulty is escalated due to the vast number of entities and aspects present in reviews. The problem of implicit asp...

In e-commerce systems, customer reviews are important information for understanding market feedbacks on certain commodities. However, accurate analyzing reviews is challenging due to the complexity of natural language processing and informal descriptions in reviews. Existing methods mainly focus on studying efficient algorithms that cannot guarantee the accuracy for review analysis. Crowdsourci...