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Using KNN algorithm for classification of textual documents

Classification (of information); Information retrieval systems; Learning systems; Nearest neighbor search; Tellurium compounds; Text processing; Automated classification; Exponential growth; K nearest neighbor (KNN); k-NN algorithm; Text classification; Textual documents; Two sources; Learning algor...

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Main Authors: Moldagulova A., Sulaiman R.B.
Other Authors: 57160071400
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-230852023-05-29T14:37:43Z Using KNN algorithm for classification of textual documents Moldagulova A. Sulaiman R.B. 57160071400 25825633600 Classification (of information); Information retrieval systems; Learning systems; Nearest neighbor search; Tellurium compounds; Text processing; Automated classification; Exponential growth; K nearest neighbor (KNN); k-NN algorithm; Text classification; Textual documents; Two sources; Learning algorithms Nowadays the exponential growth of generation of textual documents and the emergent need to structure them increase the attention to the automated classification of documents into predefined categories. There is wide range of supervised learning algorithms that deal with text classification. This paper deals with an approach for building a machine learning system in R that uses K-Nearest Neighbors (KNN) method for the classification of textual documents. The experimental part of the research was done on collected textual documents from two sources: http://egov.kz and http://www.government.kz. The experiment was devoted to challenging thing of the KNN algorithm that to find the proper value of k which represents the number of neighbors. � 2017 IEEE. Final 2023-05-29T06:37:43Z 2023-05-29T06:37:43Z 2017 Conference Paper 10.1109/ICITECH.2017.8079924 2-s2.0-85040006860 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040006860&doi=10.1109%2fICITECH.2017.8079924&partnerID=40&md5=4570e54d60ebb904bbb0df87d61278d9 https://irepository.uniten.edu.my/handle/123456789/23085 8079924 665 671 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Classification (of information); Information retrieval systems; Learning systems; Nearest neighbor search; Tellurium compounds; Text processing; Automated classification; Exponential growth; K nearest neighbor (KNN); k-NN algorithm; Text classification; Textual documents; Two sources; Learning algorithms
author2 57160071400
author_facet 57160071400
Moldagulova A.
Sulaiman R.B.
format Conference Paper
author Moldagulova A.
Sulaiman R.B.
spellingShingle Moldagulova A.
Sulaiman R.B.
Using KNN algorithm for classification of textual documents
author_sort Moldagulova A.
title Using KNN algorithm for classification of textual documents
title_short Using KNN algorithm for classification of textual documents
title_full Using KNN algorithm for classification of textual documents
title_fullStr Using KNN algorithm for classification of textual documents
title_full_unstemmed Using KNN algorithm for classification of textual documents
title_sort using knn algorithm for classification of textual documents
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428223508054016
score 13.24

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