Retnowardhani, Astari, Bina Nusantara University, Indonesia
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Vol 5, No 4 (2025) - Articles
Comparison of LSTM and TCN Models for Customer Churn Prediction Based on Sentiment and Transaction Data
Abstract PDF
International Journal of Engineering, Science, and Information Technology (IJESTY) eISSN 2775-2674
Published by Malikussaleh University, Indonesia
Editor E-mail: journalijesty@gmail.com
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