Paper Info
Title
A new term weighting scheme for text categorisation
Abstract
AbstractRecently, the study of term weighting schemes has increasingly attracted the attention of researchers in the field of text categorisation TC. Unlike information retrieval, TC is a supervised learning task that makes use of the prior information about the distribution of training documents in different predefined categories. This information, being omitted from traditional weighting schemes, is considered very useful and has been widely used for the term selection and building classifiers. This paper aims to study and analyse a new weighting measure to improve performance of a k nearest neighbours kNN-based TC.
Year
DOI
Venue
2015
10.1504/IJISTA.2015.074332
Periodicals
Field
DocType
Volume
Weighting,Computer science,Supervised learning,Artificial intelligence,Machine learning
Journal
14
Issue
ISSN
Citations 
3/4
1740-8865
0
PageRank 
References 
Authors
0.34
11
1
Name
Order
Citations
PageRank
Fatiha Barigou1146.76