COMPARISON BETWEEN CNN AND RANDOM FOREST PERFORMANCE IN DETECTING HOAX INDONESIAN NEWS ARTICLES
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A. A. Kurniawan and M. Mustikasari, “Implementasi Deep Learning Menggunakan Metode CNN dan LSTM untuk Menentukan Berita Palsu dalam Bahasa Indonesia,” JIUP, vol. 5, no. 4, p. 544, Dec. 2021, doi: 10.32493/informatika.v5i4.6760.
Friskadini Ismayanti and Erwin Budi Setiawan, “Deteksi Konten Hoax Berbahasa Indonesia di Twitter Menggunakan Fitur Ekspansi dengan Word2Vec,” openlibrarypublications.telkomuniversity.ac.id, 2020, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/15697
F. Rahutomo, I. Y. R. Pratiwi, and D. M. Ramadhani, “Eksperimen Naïve Bayes Pada Deteksi Berita Hoax Berbahasa Indonesia,” Jurnal PKOP, vol. 23, no. 1, Jul. 2019, doi: 10.33299/jpkop.23.1.1805.
S. Khomsah and Agus Sasmito Aribowo, “Text-Preprocessing Model Youtube Comments in Indonesian,” RESTI, vol. 4, no. 4, pp. 648–654, Aug. 2020, doi: 10.29207/resti.v4i4.2035.
T. T. A. Putri, “ANALYSIS AND DETECTION OF HOAX CONTENTS IN INDONESIAN NEWS BASED ON MACHINE LEARNING,” vol. 4, no. 1, 2019.
D. S. Wahyuni and Y. Sibaroni, “Comparison of Ensemble Methods for Detecting Hoax News,” bits, vol. 4, no. 2, Sep. 2022, doi: 10.47065/bits.v4i2.1957.
H. K. Farid, E. B. Setiawan, and I. Kurniawan, “Implementation Information Gain Feature Selection for Hoax News Detection on Twitter using Convolutional Neural Network (CNN),” vol. 5, no. 3, 2021.
D. T. Hermanto, A. Setyanto, and E. T. Luthfi, “Algoritma LSTM-CNN untuk Sentimen Klasifikasi dengan Word2vec pada Media Online,” vol. 8, no. 1, 2021.
D. Alita and A. R. Isnain, “Pendeteksian Sarkasme pada Proses Analisis Sentimen Menggunakan Random Forest Classifier,” komputasi, vol. 8, no. 2, Oct. 2020, doi: 10.23960/komputasi.v8i2.2615.
T. Pranckevičius and V. Marcinkevičius, “Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification,” BJMC, vol. 5, no. 2, 2017, doi: 10.22364/bjmc.2017.5.2.05
DOI: https://doi.org/10.24167/proxies.v7i1.12463
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