Sentiment Analysis Of Social Media Data Using Deep Learning Techniques

Salsabila Septiani
Nabila Putri
Dara Jessica
Arya Saputra

International Journal of Computer Technology and Science
Vol. 1 No. 2 (2024): April : International Journal of Computer Technology and Science

Social media platforms contain vast amounts of data that can reveal public sentiment on various topics. This research explores the application of deep learning techniques, particularly convolutional neural networks (CNN) and recurrent neural networks (RNN), to analyze sentiment within social media text. The results indicate that these models achieve high accuracy in sentiment classification, making them valuable tools for companies seeking to understand public opinion.