Extracting Tweets Using R in The Context of Ethical Issues

Mohamed Najid, Mohamad Hafizuddin and Zulkifli, Zahidah and Othman, Roslina and Rokis, Rohaiza (2021) Extracting Tweets Using R in The Context of Ethical Issues. In: 5th International Conference on Information Retrieval and Knowledge Management, CAMP 2021, Virtual.

	PDF Restricted to Registered users only Download (1MB) | Request a copy
Preview	PDF (SCOPUS) Download (209kB) | Preview

Abstract

Twitter is a well-known social networking platform where users exchange information and express opinions. Since many people’s interactions now take place on social media, this medium has rapidly become a source of capturing knowledge from users. The aim of this study is to find tweets using R that are then related to Ibn Khaldun’s thoughts. The analysis was carried out with a simple algorithm written in R Programming. 45 keywords based on Ibn Khaldun’s thoughts were constructed as the hashtag to retrieve data from Twitter. As a result of the data extraction, 1075 public tweets were collected through the search API. The simple algorithm is capable to facilitating the process of extracting data from Twitter, such that it easily known to the public tweets that exist in a given time period and this can be used as reference material for further development process. For further work, it is possible to use text mining activities and sentiment analysis approaches, as well as explore various social media platforms using R packages for decision makings

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	Twitter, R-Programming, Ibn Khaldun’s Thoughts
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > T Technology (General) > T173.5 Technology and Islam
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr Zahidah Zulkifli
Date Deposited:	17 Nov 2021 10:27
Last Modified:	17 Nov 2021 10:27
URI:	http://irep.iium.edu.my/id/eprint/93701

Actions (login required)

View Item