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Review Mining from Online Media


Marketed By :  VDM Verlag Dr. Müller   Sold By :  Kamal Books International  
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  • Product Description

Online reviews are becoming an ever popular source of information. In this book, we investigate three important problems in the contexts of automatic review mining from online media, and propose new techniques to address the challenges arising therein. Mining opinions from reviews presents chanllenges that cannot be easily addressed by conventional text mining methods. Therefore, we first propose novel approaches that can provide a comprehensive understanding of the sentiments reflected in the reviews. Equipped with such approaches, we then develop methods that can use the extracted opinions and sentiments for predicting product sales performance. As a case study, we investigate how to predict box office revenues from Weblogs, which have received much attention due to its high popularity. Orthogonal to the problem of identifying reviewer opinions, we consider how to automatically evaluate the helpfulness of reviews, and consequently develop novel methods to identify the most helpful reviews for a particular product. Properly used, we expect such models and algorithms to be highly helpful in various aspects of business intelligence.

Product Specifications
SKU :COC23245
AuthorYang Liu
Number of Pages112
Publishing Year8/13/2010
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandVDM Verlag Dr. Müller
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-28 00:00:00
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