Delineation of The Early 2024 Election Map: Sentiment Analysis Approach to Twitter Data
DOI:
https://doi.org/10.15575/join.v7i2.925Keywords:
Politics, 2024 Election, Sentiment Analysis, TwitterAbstract
References
M. Budiardjo, Dasar-Dasar Ilmu Politik, Jakarta: Gramedia, 2008.
Pemerintah Indonesia, UNDANG-UNDANG DASAR NEGARA REPUBLIK INDONESIA TAHUN 1945.
S. Raharjo, Undang-Undang Pemilu 2019 Berdasarkan Undang-Undang Nomor 7 Tahun 2017 Tentang Pemilihan Umum, Jakarta: Bhuana Ilmu Populer, 2018.
BPS, Statistik Politik 2019: Pemilu 1955-2019, Jakarta: Badan Pusat Statistik, 2019.
SMRC, "Partai dan Calon Presiden: Kecenderungan Sikap Pemilih Menjelang 2024," Saiful Mujani Research & Consulting, Jakarta, 2021.
Charta Politika, "Rilis Survei Nasional: Evaluasi Kebijakan & Peta Politik Masa Pandemi," Charta Politika Indonesia, Jakarta, 2021.
Indikator, "Evaluasi Publik Terhadap Kinerja Penanganan Pandemi, Vaksinasi, dan Peta Elektoral Terkini," Indikator Politik Indonesia, Jakarta, 2021.
KedaiKOPI, "Laporan Hasil Survei Calon Pemimpin Indonesia 2024: Banjir Tokoh Menuju 2024," Lembaga Survei KedaiKOPI, Jakarta, 2021.
LSI, "Evaluasi Publik Terhadap Kondisi Nasional dan Peta Awal Pemilu 2024," Lembaga Survei Indonesia, Jakarta, 2021.
Poltracking, "Survei Nasional: Evaluasi 2 Tahun Pemerintahan Joko Widodo - Ma'ruf Amin & Peta Politik Elektoral Pilpres 2024," Poltracking Indonesia, Jakarta, 2021.
S. Kemp, "Digital 2021: Indonesia," Datareportal, 11 Februari 2021. [Online]. Available: https://datareportal.com/reports/digital-2021-indonesia. [Accessed 6 November 2021].
S. N. J. Fitriyyah, N. Safriadi and E. E. Pratama, "Analisis Sentimen Calon Presiden Indonesia 2019 dari Media Sosial Twitter Menggunakan Metode Naive Bayes," Jurnal Edukasi dan Penelitian Informatika, pp. 279-285, 2019.
M. N. Habibi and Sunjana, "Analysis of Indonesia Politics Polarization before 2019 President Election Using Sentiment Analysis and Social Network Analysis," Modern Education and Computer Science, vol. 11, pp. 22-30, 2019.
R. Gustomy, "Pandemi ke Infodemi: Polarisasi Politik dalam Wacana Covid-19 Pengguna Twiiter," Jurnal Ilmiah Ilmu Pemerintahan, vol. 5, no. 2, pp. 190-205, 2020.
R. Mitchell, Web Scraping with Python, California: O'Reilly Media Inc., 2018.
C. Olston and M. Najork, Web Crawling, Massachusetts: now Publishers, 2010.
R. Liu, X. Yao, C. Guo and X. Wei, "Can We Forecast Presidential Election Using Twitter Data? An Integrative Modelling Approach," Annals of GIS, pp. 43-56, 2021.
D. Kurniawan, Pengenalan Machine Learning dengan Python, Jakarta: Elex Media Komputindo, 2022.
J. Brownlee, "A Gentle Introduction to Imbalanced Classification," 23 Desember 2019. [Online]. Available: https://machinelearningmastery.com/what-is-imbalanced-classification/.
T. Ho, "Random decision forests," in International Conference on Document Analysis and Recognition (ICDAR), Montreal, 1995.
A. I. Schein and L. H. Ungar, "Active Learning for Logistic Regression: An evaluation," Machine Learning, vol. 68, no. 3, pp. 235-265, 2007.
K. Jaidka, M. M. Skoric, S. Ahmed and M. Hilbert, "Predicting Elections from Social Media: A Three-Country, Three-Method Comparative Study," Asian Journal of Communication, 2018.
Z. Wang, S. Hale, D. I. Adelani, P. Grabowicz, T. Hartman, F. Flock and D. Jurgens, "Demographic Inference and Representative Population Estimates from Multilingual Social Media Data," in WWW'19: The World Wide Web Conference, San Francisco, 2019.
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