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» Mining Consumer Opinions from the Web
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KDD
1998
ACM
118views Data Mining» more  KDD 1998»
15 years 2 months ago
A Belief-Driven Method for Discovering Unexpected Patterns
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
Balaji Padmanabhan, Alexander Tuzhilin
ACMICEC
2007
ACM
303views ECommerce» more  ACMICEC 2007»
15 years 1 months ago
Impact of social influence in e-commerce decision making
Purchasing decisions are often strongly influenced by people who the consumer knows and trusts. Moreover, many online shoppers tend to wait for the opinions of early adopters befo...
Young Ae Kim, Jaideep Srivastava
WWW
2008
ACM
15 years 10 months ago
Modeling online reviews with multi-grain topic models
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Ivan Titov, Ryan T. McDonald
ELPUB
2007
ACM
15 years 1 months ago
Automatic Sentiment Analysis in On-line Text
The growing stream of content placed on the Web provides a huge collection of textual resources. People share their experiences on-line, ventilate their opinions (and frustrations...
Erik Boiy, Pieter Hens, Koen Deschacht, Marie-Fran...
JUCS
2008
180views more  JUCS 2008»
14 years 9 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek