Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng

E-mail can be a fantasy playground for identity experimentations where players take on an imaginary persona and interact with each other in the virtual world. Therefore. gender deception is difficult. risky and it can be abandoned at will. Inference can be made both from writing style and from clues...

Full description

Bibliographic Details
Main Authors:	Cheong, Dianne L.M., Sia Abdullah, Nur Atiqah
Format:	Article
Language:	English
Published:	Institute of Research, Development and Commercialization (IRDC) 2006
Subjects:	Data mining Electronic mail systems. General works. Text messages (Cell phone systems)
Online Access:	http://ir.uitm.edu.my/id/eprint/12967/ http://ir.uitm.edu.my/id/eprint/12967/1/AJ_DIANNE%20L.M.%20CHEONG%20SMRJ%2006%201.pdf

id	uitm-12967
recordtype	eprints
spelling	uitm-129672016-06-09T16:11:07Z http://ir.uitm.edu.my/id/eprint/12967/ Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng Cheong, Dianne L.M. Sia Abdullah, Nur Atiqah Data mining Electronic mail systems. General works. Text messages (Cell phone systems) E-mail can be a fantasy playground for identity experimentations where players take on an imaginary persona and interact with each other in the virtual world. Therefore. gender deception is difficult. risky and it can be abandoned at will. Inference can be made both from writing style and from clues hidden in the posting data. A text-mining algorithm was designed to detect gender deception based on gender-preferential features at the word or clause level of Malaysian e-mail users. Based on this algorithm. a prototype in Visual Basic is developed It was tested with /6 documents; each consists of 5 e-mails exchanges of respective individuals. The tests shown the prototype have 8/.3% of accuracy level. This is consistent with a human reader of the documents. This prototype can be a tool to assist interested parties such as the Criminology and Forensic Department. e-mail users and virtual communities to successfully identify gender deception. Institute of Research, Development and Commercialization (IRDC) 2006 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12967/1/AJ_DIANNE%20L.M.%20CHEONG%20SMRJ%2006%201.pdf Cheong, Dianne L.M. and Sia Abdullah, Nur Atiqah (2006) Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng. Social and Management Research Journal, 3 (1). pp. 11-23. ISSN 1675-7017
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Data mining Electronic mail systems. General works. Text messages (Cell phone systems)
spellingShingle	Data mining Electronic mail systems. General works. Text messages (Cell phone systems) Cheong, Dianne L.M. Sia Abdullah, Nur Atiqah Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
description	E-mail can be a fantasy playground for identity experimentations where players take on an imaginary persona and interact with each other in the virtual world. Therefore. gender deception is difficult. risky and it can be abandoned at will. Inference can be made both from writing style and from clues hidden in the posting data. A text-mining algorithm was designed to detect gender deception based on gender-preferential features at the word or clause level of Malaysian e-mail users. Based on this algorithm. a prototype in Visual Basic is developed It was tested with /6 documents; each consists of 5 e-mails exchanges of respective individuals. The tests shown the prototype have 8/.3% of accuracy level. This is consistent with a human reader of the documents. This prototype can be a tool to assist interested parties such as the Criminology and Forensic Department. e-mail users and virtual communities to successfully identify gender deception.
format	Article
author	Cheong, Dianne L.M. Sia Abdullah, Nur Atiqah
author_facet	Cheong, Dianne L.M. Sia Abdullah, Nur Atiqah
author_sort	Cheong, Dianne L.M.
title	Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
title_short	Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
title_full	Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
title_fullStr	Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
title_full_unstemmed	Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
title_sort	using text mining algorithm to detect gender deception based on malaysian chat room lingo / dianne l. m. cheong and nur atiqah sia abdullah @ sia sze yieng
publisher	Institute of Research, Development and Commercialization (IRDC)
publishDate	2006
url	http://ir.uitm.edu.my/id/eprint/12967/ http://ir.uitm.edu.my/id/eprint/12967/1/AJ_DIANNE%20L.M.%20CHEONG%20SMRJ%2006%201.pdf
first_indexed	2023-09-18T22:49:38Z
last_indexed	2023-09-18T22:49:38Z
_version_	1777417457440391168

Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng

Similar Items