📅 30 April 2024
DOI: 10.62951/ijcts.v1i2.59
Sentiment Analysis Of Social Media Data Using Deep Learning Techniques
International Journal of Computer Technology and Science
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)
📄 Abstract
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.
🔖 Keywords
#Sentiment analysis; Social media; Deep learning; Convolutional neural network; Recurrent neural network
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 April 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Salsabila Septiani; Nabila Putri; Dara Jessica; Arya Saputra, "Sentiment Analysis Of Social Media Data Using Deep Learning Techniques," International Journal of Computer Technology and Science, vol. 1, no. 2, Apr. 2024.
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