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Afif Akbar
Universitas Indonesia, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Sensing Trending Topics in Twitter for Greater Jakarta Area Angga Pratama Sitorus; Hendri Murfi; Siti Nurrohmah; Afif Akbar
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (816.414 KB) | DOI: 10.11591/ijece.v7i1.pp330-336

Abstract

Information and communication technology grows so fast nowadays, especially related to the internet. Twitter is one of internet applications that produce a large amount of textual data called tweets. The tweets may represent real-world situation discussed in a community. Therefore, Twitter can be an important media for urban monitoring. The ability to monitor the situations may guide local government to respond quickly or make public policy. Topic detection is an important automatic tool to understand the tweets, for example, using non-negative matrix factorization. In this paper, we conducted a study to implement Twitter as a media for the urban monitoring in Jakarta and its surrounding areas called Greater Jakarta. Firstly, we analyze the accuracy of the detected topics in term of their interpretability level. Next, we visualize the trend of the topics to identify popular topics easily. Our simulations show that the topic detection methods can extract topics in a certain level of accuracy and draw the trends such that the topic monitoring can be conducted easily.
Co-Authors Angga Pratama Sitorus Hendri Murfi Siti Nurrohmah