Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam

In Malaysia, there is a lot of interesting places to visit especially for the foreign traveler. Usually, before start traveling, people always plan and looking for information about the place that they want to visit. With the Internet, every information can be easily obtained. There are many website...

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Main Author:	Md Adam, Muhammad Aslam
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA Mathematics Programming languages (Electronic computers)
Online Access:	https://ir.uitm.edu.my/id/eprint/24994/1/TD_MUHAMMAD%20ASLAM%20BIN%20MD%20ADAM%20CS%2019_5.pdf
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id	my-uitm-ir.24994
record_format	uketd_dc
spelling	my-uitm-ir.249942019-09-06T08:13:33Z Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam 2019-01 Md Adam, Muhammad Aslam QA Mathematics Programming languages (Electronic computers) In Malaysia, there is a lot of interesting places to visit especially for the foreign traveler. Usually, before start traveling, people always plan and looking for information about the place that they want to visit. With the Internet, every information can be easily obtained. There are many websites that provide information about popular places that can be visited. However, not all websites are updated, with some of them are lastly updated in years ago, and some of them do not provide a review section. This can lead to information inaccuracy and is questionable to the people who are desired to visit the place. It also causes a problem to the initial plan and it takes a lot of time to search through the internet to find good information about the location. By using the information about the attraction place that has been posted on social media such as Twitter, this application will extract the data, analyze the information and display the information to the end user to help the user in making decision, planning and getting a good understanding about the places. Sentiment analysis also has been conducted by this application in order to give a quick review and reliable information to the end user. In this project, R programming language is used since R language is one of the programming languages that are suitable in producing and conducting analysis, where it has multiple functions and packages that can be used to make the analysis easier. Twitter API allows the data to be extract and the R language help in processing those data which give a good analysis result about the place of attraction in the type of web application. 2019-01 Thesis https://ir.uitm.edu.my/id/eprint/24994/ https://ir.uitm.edu.my/id/eprint/24994/1/TD_MUHAMMAD%20ASLAM%20BIN%20MD%20ADAM%20CS%2019_5.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Kampus Tapah Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	QA Mathematics Programming languages (Electronic computers)
spellingShingle	QA Mathematics Programming languages (Electronic computers) Md Adam, Muhammad Aslam Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam
description	In Malaysia, there is a lot of interesting places to visit especially for the foreign traveler. Usually, before start traveling, people always plan and looking for information about the place that they want to visit. With the Internet, every information can be easily obtained. There are many websites that provide information about popular places that can be visited. However, not all websites are updated, with some of them are lastly updated in years ago, and some of them do not provide a review section. This can lead to information inaccuracy and is questionable to the people who are desired to visit the place. It also causes a problem to the initial plan and it takes a lot of time to search through the internet to find good information about the location. By using the information about the attraction place that has been posted on social media such as Twitter, this application will extract the data, analyze the information and display the information to the end user to help the user in making decision, planning and getting a good understanding about the places. Sentiment analysis also has been conducted by this application in order to give a quick review and reliable information to the end user. In this project, R programming language is used since R language is one of the programming languages that are suitable in producing and conducting analysis, where it has multiple functions and packages that can be used to make the analysis easier. Twitter API allows the data to be extract and the R language help in processing those data which give a good analysis result about the place of attraction in the type of web application.
format	Thesis
qualification_level	Bachelor degree
author	Md Adam, Muhammad Aslam
author_facet	Md Adam, Muhammad Aslam
author_sort	Md Adam, Muhammad Aslam
title	Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam
title_short	Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam
title_full	Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam
title_fullStr	Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam
title_full_unstemmed	Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam
title_sort	data scraping to analyze tourist attractions in malaysia / muhammad aslam md adam
granting_institution	Universiti Teknologi MARA Cawangan Perak Kampus Tapah
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/24994/1/TD_MUHAMMAD%20ASLAM%20BIN%20MD%20ADAM%20CS%2019_5.pdf
_version_	1783733855036899328

Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam

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