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» Text classification from positive and unlabeled documents
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ESWA
2006
122views more  ESWA 2006»
13 years 7 months ago
Ontology construction for information classification
Following the advent of the Internet technology and the rapid growth of its applications, users have spent long periods of time browsing through the ocean of information found in ...
Sung-Shun Weng, Hsine-Jen Tsai, Shang-Chia Liu, Ch...
KDD
2004
ACM
192views Data Mining» more  KDD 2004»
14 years 7 months ago
Mining and summarizing customer reviews
Merchants selling products on the Web often ask their customers to review the products that they have purchased and the associated services. As e-commerce is becoming more and mor...
Minqing Hu, Bing Liu
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
14 years 7 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
IJMI
2007
86views more  IJMI 2007»
13 years 7 months ago
Using argumentation to extract key sentences from biomedical abstracts
s from Biomedical Abstracts Patrick Rucha , Celia Boyer c , Christine Chichesterb , Imad Tbahritiab Antoine Geissbühlera , Paul Fabrya , Julien Gobeilla , Violaine Pilletab , Diet...
Patrick Ruch, Célia Boyer, Christine Chiche...
WWW
2003
ACM
14 years 8 months ago
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
Kushal Dave, Steve Lawrence, David M. Pennock