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Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package

This paper describes a technique of text analytics on peacekeeping documents to discover significant text patterns exist in the documents. These documents are considered as unstructured textual data.The paper proposes a framework that consists of 3 stages (i) data collection (ii) document preprocess...

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Main Authors: Zainol, Zuraini, Nohuddin, Puteri N.E., Mohd, Tengku A.T., Zakaria, Omar
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/22774/1/ICOCI%202017%201%207.pdf
http://repo.uum.edu.my/22774/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID19-1-7e.pdf
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id my.uum.repo.22774
record_format eprints
spelling my.uum.repo.227742017-07-26T06:52:06Z http://repo.uum.edu.my/22774/ Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package Zainol, Zuraini Nohuddin, Puteri N.E. Mohd, Tengku A.T. Zakaria, Omar QA75 Electronic computers. Computer science This paper describes a technique of text analytics on peacekeeping documents to discover significant text patterns exist in the documents. These documents are considered as unstructured textual data.The paper proposes a framework that consists of 3 stages (i) data collection (ii) document preprocessing and (iii) text analytics and visualization.The technique is developed using R text mining package for text analytics experiments. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/22774/1/ICOCI%202017%201%207.pdf Zainol, Zuraini and Nohuddin, Puteri N.E. and Mohd, Tengku A.T. and Zakaria, Omar (2017) Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur. http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID19-1-7e.pdf doi:10.1109/INFRKM.2016.7806349
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zainol, Zuraini
Nohuddin, Puteri N.E.
Mohd, Tengku A.T.
Zakaria, Omar
Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package
description This paper describes a technique of text analytics on peacekeeping documents to discover significant text patterns exist in the documents. These documents are considered as unstructured textual data.The paper proposes a framework that consists of 3 stages (i) data collection (ii) document preprocessing and (iii) text analytics and visualization.The technique is developed using R text mining package for text analytics experiments.
format Conference or Workshop Item
author Zainol, Zuraini
Nohuddin, Puteri N.E.
Mohd, Tengku A.T.
Zakaria, Omar
author_facet Zainol, Zuraini
Nohuddin, Puteri N.E.
Mohd, Tengku A.T.
Zakaria, Omar
author_sort Zainol, Zuraini
title Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package
title_short Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package
title_full Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package
title_fullStr Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package
title_full_unstemmed Text analytics of unstructured textual data: A study on military peacekeeping document using R text mining package
title_sort text analytics of unstructured textual data: a study on military peacekeeping document using r text mining package
publishDate 2017
url http://repo.uum.edu.my/22774/1/ICOCI%202017%201%207.pdf
http://repo.uum.edu.my/22774/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID19-1-7e.pdf
_version_ 1644283612775841792
score 13.18916

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