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Vol. 5 No. 1 (2024) • Articles
Open Access

Analisis Sentimen Komentar Youtube Tentang Resesi Global 2023 Menggunakan LSTM

Ari Hendrawan
Universitas Teknologi Yogyakarta
Enny Itje Sela
Universitas Teknologi Yogyakarta
Published: January 10, 2024 Pages: 587-593
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Abstract

The COVID-19 pandemic that occurred in 2020 caused the economy to decline due to declining economic activity, making companies decide to lay off some workers so that the unemployment rate increased. This makes economic activists predict that there will be a global recession in 2023, Youtube as a video-sharing platform is one of the places to discuss through the comment’s column. The increasing number of YouTube users is one of the references for sentiment analysis using data taken from video comments. Long Short-Term Memory (LSTM) is used to perform sentiment analysis, with 500 data divided into training data and test data, resulting in the highest accuracy of 90% training data and 76% test data. This result is obtained from the configuration of the LSTM architecture with dense layers using sigmoid activation and 50 epochs.

Keywords:
Sentiment Analysis Youtube Global Recession 2023 Long Short-Term Memory (LSTM)
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Author Biographies
Ari Hendrawan Universitas Teknologi Yogyakarta

Program Studi Informatika, Fakultas Sains & Teknologi, Universitas Teknologi Yogyakarta, Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta, Indonesia

Enny Itje Sela Universitas Teknologi Yogyakarta

Program Studi Informatika, Fakultas Sains & Teknologi, Universitas Teknologi Yogyakarta, Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta, Indonesia

How to Cite
Hendrawan, A., & Sela, E. I. (2024). Analisis Sentimen Komentar Youtube Tentang Resesi Global 2023 Menggunakan LSTM. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 5(1), 587-593. https://doi.org/10.35870/jimik.v5i1.526
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