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ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 8 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
JCDL
2005
ACM
175views Education» more  JCDL 2005»
13 years 9 months ago
Automated text classification using a multi-agent framework
Automatic text classification is an important operational problem in digital library practice. Most text classification efforts so far concentrated on developing centralized solut...
Yueyu Fu, Weimao Ke, Javed Mostafa
PCM
2005
Springer
106views Multimedia» more  PCM 2005»
13 years 9 months ago
Automated Detection of Tumors in Mammograms Using Two Segments for Classification
A spread pattern of a tumor in medical images is an important factor for classification of the tumor. The spread pattern is generally not considered when we use only one segment fo...
Mahmoud R. Hejazi, Yo-Sung Ho
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
14 years 4 months ago
Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry
Text classification has matured as a research discipline over the last decade. Independently, business intelligence over structured databases has long been a source of insights fo...
Shantanu Godbole, Shourya Roy
SIGIR
2006
ACM
13 years 10 months ago
Identifying comparative sentences in text documents
This paper studies the problem of identifying comparative sentences in text documents. The problem is related to but quite different from sentiment/opinion sentence identification...
Nitin Jindal, Bing Liu