SciRepID

Belum punya Author-ID ?

Judul	Sitasi	Tahun
Sentiment Analysis Of Social Media Data Using Deep Learning Techniques (Salsabila Septiani, Nabila Putri, Dara Jessica, Arya Saputra) DOI : 10.62951/ijcts.v1i2.59 - Volume: 1, Issue: 2, Sitasi : 0 30-Apr-2024 \| Abstrak \| PDF File \| Resource \| Last.06-Aug-2025 Abstrak: 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.	0	2024