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95
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ACMICEC
2007
ACM
168views ECommerce» more  ACMICEC 2007»
15 years 3 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
122
Voted
SEMCO
2008
IEEE
15 years 6 months ago
A Comparative Study of Feature Extraction Algorithms in Customer Reviews
The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate featu...
Liliana Ferreira, Niklas Jakob, Iryna Gurevych
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
15 years 6 months ago
Aspect Summarization from Blogsphere for Social Study
In this paper, we study the problem of summarizing reasons from blogsphere for social study. We regard weblogs as a source for collecting non-discrete public opinions, where genui...
Chia-Hui Chang, Kun-Chang Tsai
100
Voted
CIKM
2009
Springer
15 years 3 months ago
Blogger-centric contextual advertising
This paper addresses the concept of Blogger-Centric Contextual Advertising, which refers to the assignment of personal ads to any blog page, chosen in according to bloggers' ...
Teng-Kai Fan, Chia-Hui Chang
110
Voted
CSE
2009
IEEE
15 years 6 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...