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An effective concept extraction method for improving text classification performance
- Source :
- Geo-spatial Information Science. 6:66-72
- Publication Year :
- 2003
- Publisher :
- Informa UK Limited, 2003.
-
Abstract
- This paper presents a new way to extract concept that can be used to improve text classification performance (precision and recall). The computational measure will be divided into two layers. The bottom layer called document layer is concerned with extracting the concepts of particular document and the upper layer called category layer is with finding the description and subject concepts of particular category. The relevant implementation algorithm that dramatically decreases the search space is discussed in detail. The experiment based on real-world data collected from Infor-Bank shows that the approach is superior to the traditional ones.
- Subjects :
- Measure (data warehouse)
Information retrieval
Association rule learning
Computer science
Geography, Planning and Development
Subject (documents)
Space (commercial competition)
computer.software_genre
Concept extraction
Data mining
Computers in Earth Sciences
Layer (object-oriented design)
Precision and recall
computer
Subjects
Details
- ISSN :
- 19935153 and 10095020
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Geo-spatial Information Science
- Accession number :
- edsair.doi...........1ad42a0b3a32dd4f7ee47de46396e062