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SIGIR
2008
ACM
13 years 7 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
KDD
2009
ACM
200views Data Mining» more  KDD 2009»
14 years 2 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...
AIEDAM
2007
191views more  AIEDAM 2007»
13 years 7 months ago
Ontology-based design information extraction and retrieval
Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual desi...
Zhanjun Li, Karthik Ramani
ICDAR
2009
IEEE
13 years 5 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
COMAD
2008
13 years 9 months ago
Kshitij: A Search and Page Recommendation System for Wikipedia
Semantic information helps in identifying the context of a document. It will be interesting to find out how effectively this information can be used in recommending related docume...
Phanikumar Bhamidipati, Kamalakar Karlapalem