Sentiment Analysis of Electric Vehicle Incentives Using CNN-LSTM and SVM Models

In this study, we will briefly discuss the potential use of a hybrid deep learning model consisting of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTMs) in sentiment analysis applications will be briefly outlined. This hybrid deep learning CNN-LSTM model will be compared with several machine learning-based models across various evaluations. The research is conducted using a dataset containing sentiments expressed by the Indonesian public regarding the government’s policy of “incentives for purchasing electric cars” sourced from YouTube. Based on the conducted research, it has been discovered that the combination of CNN and LSTM model provides competitive results compared to several other machine learning models.