Author:
Ermatita Ermatita,Abdiansah Abdiansah,Rini Dian Palupi,Febry Fatmalina
Abstract
The purpose of this study creates a Sentiment Analysis model of COVID-19 using Multimodal Fusion Neural Networks in real time to model and visualize COVID-19 in Indonesia. This study obtained 87 percent accuracy using the Multimodal Fusion Neural Networks model, a higher 5 percent than the benchmarking model Convolutional Neural Networks. This study proves that the sentiment model built is quite promising and relevant to be implemented.
Publisher
Association for Information Communication Technology Education and Science (UIKTEN)
Subject
Management of Technology and Innovation,Information Systems and Management,Strategy and Management,Education,Information Systems,Computer Science (miscellaneous)
Cited by
3 articles.
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