Nugroho, Robertus Setiawan Aji Proposal Penelitian COVID-19 Detection and Tracing Based On Conversation in Social Media. Project Report. UNIKA Soegijapranata. (Unpublished)
![[img]](https://repository.unika.ac.id/style/images/fileicons/text.png) |
Text
proposal_penelitian_TI.pdf Restricted to Registered users only Download (4MB) |
Abstract
The spread of COVID-19 has grown exponentially. It has infected million more people than what has been predicted few months ago. With most of the Indonesian work in informal sector, detecting and tracing infected people become more challenging. In this research, we propose a system to get early detection about people with COVID symptoms from social media that combine personal health mention and topic derivation algorithms. Existing approaches rely only on social media content for analysis and overlook the dynamicity of the platform, resulted in low accuracy of the derived topics. We will apply dynamic derivation approach which is sensitive to time changing and involving interaction between messages to get more accurate topical information.
| Item Type: | Monograph (Project Report) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | Mr R. Setiawan Aji Nugroho |
| Date Deposited: | 08 Feb 2021 21:37 |
| Last Modified: | 09 Feb 2021 05:26 |
| URI: | http://repository.unika.ac.id/id/eprint/23534 |
Actions (login required)
 |
View Item |
