Monitoring Keluhan Masyarakat terkait Covid 19 pada Media Sosial
Researcher Name (Team Leader)

Ayu Purwarianti



Activity Summary

This platform aims to monitor the development of Covid-19 issues taken from social media (Twitter and Instagram) with analysis using related keywords, sentiments, and hoax classification circulating in Indonesia. In the process, the NLP engine on this platform is the text analytics that have three main components, namely Concept Extraction, Sentiment Classification, and Hoax Classification. The outcome of this platform is the data presented in the form of a dashboard. Covid-19 Social Media Monitoring that can be accessed at https://covid19-socmed.id/



Target

Monitoring community complaints related to Covid 19 on social media



Testimonials

In the information age, the community tends to use social media to write down their opinions about several topics, in this case during Covid-19 Many popping up sentiment and hoax information, especially related Covid-19