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AAAI
2006
13 years 7 months ago
Comparative Experiments on Sentiment Classification for Online Product Reviews
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
Hang Cui, Vibhu O. Mittal, Mayur Datar
ICML
2009
IEEE
14 years 17 days ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
14 years 6 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...
ACMICEC
2007
ACM
168views ECommerce» more  ACMICEC 2007»
13 years 9 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
HICSS
2007
IEEE
126views Biometrics» more  HICSS 2007»
14 years 3 days ago
Enriching Literature Reviews with Computer-Assisted Research Mining. Case: Profiling Group Support Systems Research
In this paper we discuss and demonstrate how traditional literature reviews may be enriched by computer-assisted research profiling. Research profiling makes use of sophisticated ...
Johanna Bragge, Sami Relander, Anne Sunikka, Petri...