International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 7 | Year 2013 | Article Id. IJCTT-V4I7P101 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I7P101

Fuzzy Feature Clustering for Text Classification Using Sequence Classifier

Ambily Balaram

Citation :

Ambily Balaram, "Fuzzy Feature Clustering for Text Classification Using Sequence Classifier," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 7, pp. 1993-1999, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I7P101

Abstract

Due to the rapid growth of Internet Technologies and the prosper of WWW, the volume of textual data is increasing more and more, thereby leading to the significance of text classification. Feature Clustering is a powerful method to reduce the dimensionality of feature vector for text classification. Text Classification is one of the important research issues in the field of text mining, where the documents are classified with supervised knowledge. This paper proposes a sequence classifier in a two stage approach combining Support Vector Machines (SVMs) and Conditional Random Fields (CRFs).It is (i) highly accurate, (ii) Scalable and (iii) Easy to use in Data mining approach. . The proposed model works efficiently and effectively with great performance and high - accuracy results.

Keywords

Conditional Random Fields, Support Vector Machine.

References

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