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ICONIP
2008
14 years 11 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...
RIAO
1997
14 years 11 months ago
Coupling information retrieval and information extraction: A new text technology for gathering information from the web
The techniques of information retrieval and information extraction are complementary, but to date there has been little concrete work aimed at integrating the two. We describe how...
Robert J. Gaizauskas, Alexander M. Robertson
TSD
2010
Springer
14 years 8 months ago
Improving Automatic Image Captioning Using Text Summarization Techniques
This paper presents two different approaches to automatic captioning of geo-tagged images by summarizing multiple web-documents that contain information related to an image’s lo...
Laura Plaza, Elena Lloret, Ahmet Aker
SAC
2009
ACM
15 years 4 months ago
Automatic discovery of technology trends from patent text
Patent text is a rich source to discover technological progresses, useful to understand the trend and forecast upcoming advances. For the importance in mind, several researchers h...
Youngho Kim, Yingshi Tian, Yoonjae Jeong, Jihee Ry...
INFOVIS
2000
IEEE
15 years 2 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...