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:
Online Access:http://ir.uitm.edu.my/id/eprint/24994/
http://ir.uitm.edu.my/id/eprint/24994/1/TD_MUHAMMAD%20ASLAM%20BIN%20MD%20ADAM%20CS%2019_5.pdf
id uitm-24994
recordtype eprints
spelling uitm-249942019-09-06T08:13:33Z http://ir.uitm.edu.my/id/eprint/24994/ Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/24994/1/TD_MUHAMMAD%20ASLAM%20BIN%20MD%20ADAM%20CS%2019_5.pdf Md Adam, Muhammad Aslam (2019) Data scraping to analyze tourist attractions in Malaysia / Muhammad Aslam Md Adam. Degree thesis, Universiti Teknologi MARA Cawangan Perak Kampus Tapah.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
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
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
publishDate 2019
url http://ir.uitm.edu.my/id/eprint/24994/
http://ir.uitm.edu.my/id/eprint/24994/1/TD_MUHAMMAD%20ASLAM%20BIN%20MD%20ADAM%20CS%2019_5.pdf
first_indexed 2023-09-18T23:13:49Z
last_indexed 2023-09-18T23:13:49Z
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