Sentiment Analysis of Twitter User’s Opinions on Government’s Performance in dealing with COVID-19 in Indonesia

Authors

  • Bagus Sujiwo Bina Nusantara University
  • Antoni Wibowo Bina Nusantara University

DOI:

https://doi.org/10.31004/jpdk.v4i6.8128

Abstract

Saat ini, cukup banyak masyarakat Indonesia yang menggunakan Twitter, sebuah jejaring sosial media yang menyediakan informasi berupa produk, iklan, dan promosi mengenai kritik, saran suatu isu, dan opini publik. Penelitian ini bertujuan untuk menyederhanakan dan meningkatkan pendeteksian suatu opini tanpa menggunakan metode yang memakan waktu, seperti kuesioner. Selain itu, ia membuat kumpulan data berdasarkan tweet pengguna berbahasa Indonesia. Label data dikumpulkan menggunakan metode k-fold cross-validation yang dibagi menjadi 10 bagian. Metode klarifikasi analisis sentimen dilakukan melalui studi banding antara tiga metode, yaitu Naive Bayes (NB), Support Vector Machine (SVM), dan Long Short-Term Memory (LSTM). Ketiga metode memberikan hasil yang sesuai untuk setiap sifat kepribadian tetapi SVM sedikit mengungguli yang lain.

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Published

2022-11-01

How to Cite

Sujiwo, B. ., & Wibowo, A. . (2022). Sentiment Analysis of Twitter User’s Opinions on Government’s Performance in dealing with COVID-19 in Indonesia. Jurnal Pendidikan Dan Konseling (JPDK), 4(6), 145–153. https://doi.org/10.31004/jpdk.v4i6.8128

Issue

Vol. 4 No. 6 (2022): Jurnal Pendidikan dan Konseling

Section

Articles

License

Copyright (c) 2022 Bagus Sujiwo, Antoni Wibowo

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