Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah

Computer technology has caused a big impact in our daily life. People nowadays mostly socialize through social networks since it is efficient and the fastest way to communicate regardless geographical boundaries. However, social networks have brought some drawbacks and disadvantages to the society....

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Main Author:	Anafiah, Danna Majdiah
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Facebook Analysis
Online Access:	https://ir.uitm.edu.my/id/eprint/87155/1/87155.pdf
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id	my-uitm-ir.87155
record_format	uketd_dc
spelling	my-uitm-ir.871552024-02-24T17:17:47Z Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah 2013 Anafiah, Danna Majdiah Facebook Analysis Computer technology has caused a big impact in our daily life. People nowadays mostly socialize through social networks since it is efficient and the fastest way to communicate regardless geographical boundaries. However, social networks have brought some drawbacks and disadvantages to the society. Some irresponsible people use social networks to do crimes and violation to other social network's users by faking their true identities including their name, age and gender. Therefore, this research will focus on gender identification from Facebook status posted and how gender can be classified through the occurrence and frequency of language style used by male and female users. This research focused on Facebook status in Malay language only due to time constraint and scope limitation of the project. 2013 Thesis https://ir.uitm.edu.my/id/eprint/87155/ https://ir.uitm.edu.my/id/eprint/87155/1/87155.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Jamil, Nursuriati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jamil, Nursuriati
topic	Facebook Analysis
spellingShingle	Facebook Analysis Anafiah, Danna Majdiah Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah
description	Computer technology has caused a big impact in our daily life. People nowadays mostly socialize through social networks since it is efficient and the fastest way to communicate regardless geographical boundaries. However, social networks have brought some drawbacks and disadvantages to the society. Some irresponsible people use social networks to do crimes and violation to other social network's users by faking their true identities including their name, age and gender. Therefore, this research will focus on gender identification from Facebook status posted and how gender can be classified through the occurrence and frequency of language style used by male and female users. This research focused on Facebook status in Malay language only due to time constraint and scope limitation of the project.
format	Thesis
qualification_level	Bachelor degree
author	Anafiah, Danna Majdiah
author_facet	Anafiah, Danna Majdiah
author_sort	Anafiah, Danna Majdiah
title	Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah
title_short	Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah
title_full	Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah
title_fullStr	Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah
title_full_unstemmed	Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah
title_sort	gender identification from facebook status using term classification and occurrence / danna majdiah anafiah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/87155/1/87155.pdf
_version_	1794192115181289472

Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah

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