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» Ontology-based Text Document Clustering
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KES
2004
Springer
15 years 5 months ago
Analyzing the Temporal Sequences for Text Categorization
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
Xiao Luo, A. Nur Zincir-Heywood
114
Voted
SIGIR
1999
ACM
15 years 4 months ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
100
Voted
IPM
2007
143views more  IPM 2007»
15 years 11 days ago
QCS: A system for querying, clustering and summarizing documents
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...
127
Voted
ACSC
2003
IEEE
15 years 5 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
84
Voted
NAACL
2007
15 years 1 months ago
Clustered Sub-Matrix Singular Value Decomposition
This paper presents an alternative algorithm based on the singular value decomposition (SVD) that creates vector representation for linguistic units with reduced dimensionality. T...
Fang Huang, Yorick Wilks