An Improved Strategy of the Feature Selection Algorithm for the Text Categorization | IEEE Conference Publication | IEEE Xplore

An Improved Strategy of the Feature Selection Algorithm for the Text Categorization


Abstract:

feature selection is a very important role in text classification. In this paper, a new idea is put forward, that is, the feature contribution degree to each category of ...Show More

Abstract:

feature selection is a very important role in text classification. In this paper, a new idea is put forward, that is, the feature contribution degree to each category of text data set is taken into account in the feature selection and dimension reduction stage of text preprocessing, and then the features obtained by feature selection algorithm are further analyzed and filtered. In the end, the number of features that represent each category of the data set is identical. In this paper, a Naive Bayes classifier is used to verify this idea on three benchmark datasets: 20-newgroups, Reuters and WebKB. The experimental results show that the proposed method can effectively improve the accuracy of text classification.
Date of Conference: 08-11 July 2019
Date Added to IEEE Xplore: 19 December 2019
ISBN Information:
Conference Location: Toyama, Japan

References

References is not available for this document.