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DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 9 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
LREC
2008
90views Education» more  LREC 2008»
13 years 9 months ago
Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation
Open answers in questionnaires contain valuable information that is very time-consuming to analyze manually. We present a method for hypothesis generation from questionnaires base...
Magnus Rosell, Sumithra Velupillai
CICLING
2005
Springer
14 years 1 months ago
A Supervised Clustering Method for Text Classification
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
Umarani Pappuswamy, Dumisizwe Bhembe, Pamela W. Jo...
AI
2010
Springer
13 years 9 months ago
Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...
Baoli Li, Carl Vogel
NLPRS
2001
Springer
14 years 1 days ago
WordNet and Automated Text Summarization
Proposals for text classification and information retrieval have been recently presented making use of the WordNet ontology. Generally, this methodology requires statistical induc...
Rui Pedro Chaves