Sentimen Analisis Terkait Dengan Penerapan Artificial Intelligence Terhadap Dunia Pendidikan Di Indonesia Menggunakan Deep Learning

Artificial Intelligence has a major influence in various sectors, one of wich is in the world of education. This study aims to analyze public sentiment related to the application of artificial intelligence to the world of education in Indonesia using a deep learning approach. Data was collected through a crawling process from application x which was in the time span of October 2023 to November 2024, which was then processed and labeled. Feature extraction was carried out using the
word2vec model. Furthermore, in the classification process using two model architectures, namely Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (Bi-LSTM). Based on the evaluation results, Bi-LSTM showed superior performance compared to the LSTM model. This study is a development of previous research, where previous research had a limitations in the small amount of data and suboptional model performance. By improving the quality
and quantity of data and using more complex models, this study is expected to provide a more accurate picture.