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AAAI
2006
9 years 4 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
AAAI
2006
9 years 4 months ago
Opinion Extraction and Summarization on the Web
The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sources containing such opinions, e.g., product reviews, forums, discussion grou...
Minqing Hu, Bing Liu
EMNLP
2007
9 years 4 months ago
Low-Quality Product Review Detection in Opinion Summarization
Product reviews posted at online shopping sites vary greatly in quality. This paper addresses the problem of detecting lowquality product reviews. Three types of biases in the exi...
Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang...
FLAIRS
2010
9 years 4 months ago
The Readability of Helpful Product Reviews
Consumers frequently rely on user-generated product reviews to guide purchasing decisions. Given the everincreasing volume of such reviews and variations in review quality, consum...
Michael P. O'Mahony, Barry Smyth
ENTER
2006
Springer
9 years 6 months ago
Product Reviews in Travel Decision Making
Product reviews or user opinions represent a peculiar information source that can be exploited in supporting travel decision making. Product reviews provide other user's expe...
Francesco Ricci, René T. A. Wietsma
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
10 years 2 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...
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