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Comparing LSTM and CNN Methods in Case Study on Public Discussion about Covid-19 in Twitter

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Al-Quds Open University
Kurniawan F.; Romadhoni Y.; Zahrona L.; Hammad J.
Kurniawan, Fachrul (58846336800); Romadhoni, Yuliana (57961974400); Zahrona, Laila (57962675200); Hammad, Jehad (57201449394)
58846336800; 57961974400; 57962675200; 57201449394
2022
International Journal of Advanced Computer Science and Applications
Comparing LSTM and CNN Methods in Case Study on Public Discussion about Covid-19 in Twitter
13
10
402
409
Science and Information Organization
Department of Informatics Engineering, Universitas Islam Maulana Malik Ibrahim Malang, Malang, Indonesia; Department of Informatics Engineering, UIN Maulana Malik Ibrahim Malang, Indonesia; Al-Quds Open University, Bethlehem Branch, Indonesia
Kurniawan F., Department of Informatics Engineering, Universitas Islam Maulana Malik Ibrahim Malang, Malang, Indonesia; Romadhoni Y., Department of Informatics Engineering, UIN Maulana Malik Ibrahim Malang, Indonesia; Zahrona L., Department of Informatics Engineering, UIN Maulana Malik Ibrahim Malang, Indonesia; Hammad J., Al-Quds Open University, Bethlehem Branch, Indonesia
2
10.14569/IJACSA.2022.0131048
Cnn; Covid-19; Lstm; Sentiment analysis
Convolution; Learning systems; Long short-term memory; Social networking (online); Case-studies; Cnn; Convolution neural network; Covid-19; F1 scores; Learning models; Lstm; Model method; Neural network method; Sentiment analysis; Sentiment analysis