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109
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ACL
2009
15 years 19 days ago
Recognizing Stances in Online Debates
This paper presents an unsupervised opinion analysis method for debate-side classification, i.e., recognizing which stance a person is taking in an online debate. In order to hand...
Swapna Somasundaran, Janyce Wiebe
ICASSP
2010
IEEE
15 years 3 days ago
A supervisory approach to semi-supervised clustering
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
Bryan Conroy, Yongxin Taylor Xi, Peter J. Ramadge
135
Voted
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
15 years 9 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
CICLING
2009
Springer
16 years 3 months ago
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
Ted Pedersen
112
Voted
HICSS
2005
IEEE
117views Biometrics» more  HICSS 2005»
15 years 8 months ago
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
Pimwadee Chaovalit, Lina Zhou