S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin

In recent year, the spectacular development of web technologies, lead to a large quantity of use generated information in online systems. This large amount of information on web platforms makes them viable to use as the data sources. The objective of this research is to develop a website that provid...

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Main Author:	Ahmad Kamarrudin, Amieza Kamelia
Format:	Thesis
Language:	English
Published:	2017
Online Access:	https://ir.uitm.edu.my/id/eprint/18104/2/TD_AMIEZA%20KAMELIA%20AHMAD%20KAMARRUDIN%20CS%2017_5.pdf
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id	my-uitm-ir.18104
record_format	uketd_dc
spelling	my-uitm-ir.181042019-02-27T07:33:20Z S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin 2017 Ahmad Kamarrudin, Amieza Kamelia In recent year, the spectacular development of web technologies, lead to a large quantity of use generated information in online systems. This large amount of information on web platforms makes them viable to use as the data sources. The objective of this research is to develop a website that provides polarity review for the product beauty by using sentiment analysis. There is several beauty product uses as the prototype for the research. Currently, S-Line Centre does not have it own websites to provide online view of the product for the company’s product. To overcome the problem, the objective has been discovered. This website can help the staff to provide product review based on customer opinion in Twitter. The tweet from the twitter is extracted, and the tweets are then analyzed by using sentiment analysis to provide the polarity of the product. The result from the project of the sentiment analysis is the negativity and the positivity of the tweets about the product. The website will show the most number of polarities that occurs. Text blob is used as the tool to generate the NLTK. To develop the project, the waterfall model methodology is used. The future enhancement for this project is to handle the limitations of the project which is to add more language to be detects. Other than that, this project can also be improved by adding new social network sites (SNS) other than twitter such as Instagram. This can provide a variety of people from different characteristic group. 2017 Thesis https://ir.uitm.edu.my/id/eprint/18104/ https://ir.uitm.edu.my/id/eprint/18104/2/TD_AMIEZA%20KAMELIA%20AHMAD%20KAMARRUDIN%20CS%2017_5.pdf text en public dphil degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	In recent year, the spectacular development of web technologies, lead to a large quantity of use generated information in online systems. This large amount of information on web platforms makes them viable to use as the data sources. The objective of this research is to develop a website that provides polarity review for the product beauty by using sentiment analysis. There is several beauty product uses as the prototype for the research. Currently, S-Line Centre does not have it own websites to provide online view of the product for the company’s product. To overcome the problem, the objective has been discovered. This website can help the staff to provide product review based on customer opinion in Twitter. The tweet from the twitter is extracted, and the tweets are then analyzed by using sentiment analysis to provide the polarity of the product. The result from the project of the sentiment analysis is the negativity and the positivity of the tweets about the product. The website will show the most number of polarities that occurs. Text blob is used as the tool to generate the NLTK. To develop the project, the waterfall model methodology is used. The future enhancement for this project is to handle the limitations of the project which is to add more language to be detects. Other than that, this project can also be improved by adding new social network sites (SNS) other than twitter such as Instagram. This can provide a variety of people from different characteristic group.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Ahmad Kamarrudin, Amieza Kamelia
spellingShingle	Ahmad Kamarrudin, Amieza Kamelia S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin
author_facet	Ahmad Kamarrudin, Amieza Kamelia
author_sort	Ahmad Kamarrudin, Amieza Kamelia
title	S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin
title_short	S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin
title_full	S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin
title_fullStr	S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin
title_full_unstemmed	S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin
title_sort	s-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / amieza kamelia ahmad kamarrudin
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/18104/2/TD_AMIEZA%20KAMELIA%20AHMAD%20KAMARRUDIN%20CS%2017_5.pdf
_version_	1783733625826574336

S-line centre automated beauty product review system by using keyword extraction and analysis extract from twitter / Amieza Kamelia Ahmad Kamarrudin

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