Experimental Result Analysis of Text Categorization using Clustering and Classification Algorithms

Prof. Kurhade N. V.; Patil Kiran Sanajy

Title:
Experimental Result Analysis of Text Categorization using Clustering and Classification Algorithms

Authors:
Patil Kiran Sanajy | Prof. Kurhade N. V.

Cite This Article :

Patil Kiran Sanajy | Prof. Kurhade N. V. "Experimental Result Analysis of Text Categorization using Clustering and Classification Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.1216-1219, URL: https://www.ijtsrd.com/papers/ijtsrd25077.pdf

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Abstract :
In a world that routinely produces more textual data. It is very critical task to managing that textual data. There are many text analysis methods are available to managing and visualizing that data, but many techniques may give less accuracy because of the ambiguity of natural language. To provide the ?ne-grained analysis, in this paper introduce e?cient machine learning algorithms for categorize text data. To improve the accuracy, in proposed system I introduced Natural language toolkit (NLTK) python library to perform natural language processing. The main aim of proposed system is to generalize the model for real time text categorization applications by using e?cient text classi?cation as well as clustering machine learning algorithms and ?nd the efficient and accurate model for input dataset using performance measure concept.

Keywords :
Text analytics, Term frequency–Inverse document frequency (TF-IDF), Text classi?cation, Text categorization

Publication Details:

Unique Identification Number : IJTSRD25077

Published In : Volume-3 | Issue-4, June 2019

Page Number(s) : 1216-1219

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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