Efficient Feature Selection and Domain Relevance Term Weighting Method for Document Classification
Feature selection is of paramount concern in document classification process which improves the efficiency and accuracy of text classifier. Vector Space Model is used to represent the “Bag of Word” BOW of the documents with term weighting phenomena. Documents representing through this model has...
Saved in:
Main Authors: | Aurangzeb , khan, Baharum, Baharudin, Khairullah, khan |
---|---|
Format: | Conference or Workshop Item |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.utp.edu.my/6431/1/Efficient_Feature_Selection_and_Domain_Relevance_Term_Weighting_Method_for.pdf http://eprints.utp.edu.my/6431/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semantic Based Features Selection and Weighting
Method for Text Classification
by: Aurangzeb , khan, et al.
Published: (2010) -
An Overview of E-Documents Classification
by: Aurangzeb , khan, et al.
Published: (2010) -
MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM
by: Aurangzeb, khan, et al.
Published: (2011) -
MINING CUSTOMER DATA FOR DECISION MAKING
USING NEW HYBRID CLASSIFICATION ALGORITHM
by: Aurangzeb, khan, et al.
Published: (2011) -
Sentiment Classification from Online Customer Reviews
Using Lexical Contextual Sentence Structure
by: Aurangzeb, Khan, et al.
Published: (2011)