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» Text Mining at the Term Level
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137
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KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 4 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
133
Voted
BMCBI
2010
153views more  BMCBI 2010»
15 years 3 months ago
PPLook: an automated data mining tool for protein-protein interaction
Background: Extracting and visualizing of protein-protein interaction (PPI) from text literatures are a meaningful topic in protein science. It assists the identification of inter...
Shao-Wu Zhang, Yao-Jun Li, Li Xia, Quan Pan
142
Voted
KCAP
2005
ACM
15 years 9 months ago
CORDER: COmmunity relation discovery by named entity recognition
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
Jianhan Zhu, Alexandre L. Gonçalves, Victor...
NAACL
2007
15 years 5 months ago
Extracting Appraisal Expressions
Sentiment analysis seeks to characterize opinionated or evaluative aspects of natural language text. We suggest here that appraisal expression extraction should be viewed as a fun...
Kenneth Bloom, Navendu Garg, Shlomo Argamon
145
Voted
SAC
2004
ACM
15 years 9 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo