Sciweavers

JCDL
2005
ACM
175views Education» more  JCDL 2005»
13 years 10 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
MICAI
2007
Springer
13 years 10 months ago
Taking Advantage of the Web for Text Classification with Imbalanced Classes
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
AI
2007
Springer
13 years 10 months ago
Learning the Semantic Meaning of a Concept from the Web
Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as...
Yang Yu, Yun Peng
QSIC
2007
IEEE
13 years 10 months ago
Automatic Quality Assessment of SRS Text by Means of a Decision-Tree-Based Text Classifier
The success of a software project is largely dependent upon the quality of the Software Requirements Specification (SRS) document, which serves as a medium to communicate user req...
Ishrar Hussain, Olga Ormandjieva, Leila Kosseim
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
13 years 10 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 5 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
14 years 5 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
ICML
1998
IEEE
14 years 5 months ago
Improving Text Classification by Shrinkage in a Hierarchy of Classes
Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell...
ICPR
2004
IEEE
14 years 5 months ago
Spontaneous Handwriting Recognition and Classification
Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabula...
Alejandro Hector Toselli, Alfons Juan, Enrique Vid...