Analysis of Twitter Users Sentiment against the Covid-19 Outbreak Using the Backpropagation Method with Adam Optimization
Abstract
This research tries to take advantage of Twitter by analyzing Indonesian-language tweets that discuss the Covid-19 virus outbreak to find out what Twitter users think about the Covid-19 virus outbreak. This study tries to analyze sentiment to see opinions on Covid-19 tweets that contains Posittive, Negative or Neutral sentiments using Multi-layer Perceptron (MLP) using Backprogragation with Adam optimization. We collected 200 documents (tweets) in Indonesian about Covid-19 that were tweeted since November 2019 and then trained them to get our MLP Backpropagation model. Our model managed to get an accuracy of up to 70% with f1-scores for positive, negative, and neutral classes respectively 0.77, 0.75, and 0.5 from a maximum value of 1. This shows that our model is quite successful in carrying out the sentiment classification process for Indonesian tweets with the Covid-19 theme.
Downloads
References
[2] A. F. Hidayatullah and A. S. Azhari, “Analisis Sentimen dan Klasifikasi Kategori terhadap tokoh publik pada twitter,” in Seminar Nasional Informatika (SEMNASIF), 2015.
[3] T. Pramiyati, A. Purwarianti, and I. Supriana, “KECENDERUNGAN PENILAIAN PENGGUNA INFORMASI TERHADAP TWEET (KICAUAN) PADA MEDIA SOSIAL TWITTER,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 7, no. 1, pp. 209–216, 2016.
[4] Y. Yuliana, “Corona virus diseases (Covid-19): Sebuah tinjauan literatur,” Wellness Heal. Mag., vol. 2, no. 1, pp. 187–192, 2020.
[5] B. Andrianto and S. A. Indriati, “Analisis Sentimen Konten Radikal Melalui Dokumen Twitter Menggunakan Metode Backpropagation,” J. Pengemb. Teknol. Įnformasį dan Įlmu Komput., vol. 2, no. 12, pp. 7380–7385, 2018.
[6] F. Syadid, “Analisis sentimen komentar netizen terhadap calon presiden Indonesia 2019 dari twitter menggunakan algoritma term frequency-invers document frequency (tf-idf) dan metode multi layer perceptron (mlp) neural network,” 2019.
[7] Y. S. Mahardhika and E. Zuliarso, “ANALISIS SENTIMEN TERHADAP PEMERINTAHAN JOKO WIDODO PADA MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITMA NAIVES BAYES CLASSIFIER,” SINTAK, vol. 2, no. Nov, 2018.
[8] I. W. A. Setyadi, D. C. Khrisne, and I. M. A. Suyadnya, “Automatic Text Summarization Menggunakan Metode Graph dan Ant Colony Optimization,” Maj. Ilm. Teknol. Elektro, vol. 17, no. 1, pp. 124–130, 2018.
[9] D. C. Khrisne and I. M. A. Suyadnya, “RUNCING: an Indonesian Text Summarization System Using Cat Swarm Optimization.”
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.