Classification of User Expressions on Social Media Using LSTM and GRU Models
Social media serves as a platform for sharing information. Through social media, users can interact with others and express their feelings and emotions. Therefore, emotion analysis plays a crucial role in understanding users' conditions regarding various issues and social events. This study aim...
Saved in:
| Main Authors: | I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LPPM ISB Atma Luhur
2025-01-01
|
| Series: | Jurnal Sisfokom |
| Subjects: | |
| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2318 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS
by: Muhammad Nazhif Abda Putera Khano, et al.
Published: (2023-12-01) -
Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU
by: Yerik Afrianto Singgalen
Published: (2024-12-01) -
A Hybrid LSTM-GRU Model for Stock Price Prediction
by: Amirfarhad Farhadi, et al.
Published: (2025-01-01) -
Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN
by: Osman Eldoğan, et al.
Published: (2024-08-01) -
Evaluation of LSTM, GRU, and ANFIS Models for Ankle Angle and Ankle Moment Prediction Using Biomechanical Data
by: T. S. Sangeetha, et al.
Published: (2025-01-01)