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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi SmartComp Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Julinar Sari Hutagalung
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Journal : Jurnal Indonesia : Manajemen Informatika dan Komunikasi

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ANALISIS SENTIMEN KEUANGAN (DATA FIQA AND FINANCIAL PHRASEBANK) MENGGUNAKAN ALGORITMA LOGISTIC REGRESSION DAN SUPPORT VECTOR MACHINE Julinar Sari Hutagalung; Rasiban
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.404

Abstract

Finance is a very vital sector in a Company and institution because it has a very important strategic role in creating a conducive environment, especially for the improvement of the national economy. Through a combination of FiQA and Financial PhareBank text datasets, an analysis of positive, negative and neutral sentiments related to finance is carried out that can be taken into consideration to make a policy in the financial sector or context in achieving this strategic role. Application of sentiment analysis using hyperparameter tuning in Logistic Regression and Support Vector Machines algorithms, with TF-IDF and Smote weighting on training data. The best model results of 70.70% accuracy on the Support Vector Machine algorithm during model training using training data that is not done Smote class imbalance.
Co-Authors Aldino Nur Ihsan Andrian Nur Ihsan Dionta Dionta Rasiban Sri Lestari