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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 3, MARCH 2021

Comparative Study of Text Mining Algorithms

Abhishek P, Abhishek K.S, Radhika B

DOI: 10.17148/IJARCCE.2021.10302

Abstract: Text mining has become an energizing exploration field as it attempts to find important data from unstructured texts. The unstructured texts which contain huge measure of data can't just be utilized for additional preparing by computing devices. Subsequently, definite handling strategies, calculations and methods are imperative to remove this significant data which is finished by utilizing text mining. In this paper, we have examined general thought of text mining and examination of its strategies. In expansion, we momentarily talk about various text mining algorithms which are utilized at present and in future. They are K-means clustering, Decision tree, Neural Network.

Keywords: Text mining, K-means clustering, Decision tree, Neural Network.

How to Cite:

[1] Abhishek P, Abhishek K.S, Radhika B, “Comparative Study of Text Mining Algorithms,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10302