Nugroho, Robertus Setiawan Aji COVID-19 Detection and Tracing Based On Conversation in Social Media. Project Report. Soegijapranata Catholic University. (Unpublished)
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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. In this research we apply classification model to identify personal health mention in a tweet. We collect and annotate Twitter data from 2018 to train the classifier system. Our experimental result show that our curated data training and proposed machine learning model could effectively detect personal health mention in social media environment.
| 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: | 03 Aug 2021 01:04 |
| Last Modified: | 03 Aug 2021 01:04 |
| URI: | http://repository.unika.ac.id/id/eprint/26262 |
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