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» Mining Opinion Features in Customer Reviews
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments (single-factor or factorial designs), A/B ...
Ron Kohavi, Randal M. Henne, Dan Sommerfield
ACMICEC
2007
ACM
168views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Designing novel review ranking systems: predicting the usefulness and impact of reviews
With the rapid growth of the Internet, users' ability to publish content has created active electronic communities that provide a wealth of product information. Consumers nat...
Anindya Ghose, Panagiotis G. Ipeirotis
EMNLP
2009
13 years 5 months ago
Phrase Dependency Parsing for Opinion Mining
In this paper, we present a novel approach for mining opinions from product reviews, where it converts opinion mining task to identify product features, expressions of opinions an...
Yuanbin Wu, Qi Zhang, Xuanjing Huang, Lide Wu
COLING
2010
13 years 2 months ago
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features/attributes. However, for the same feature, people can express it w...
Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
14 years 7 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...