Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT

Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT

Abstract Sentiment analysis (SA) as a research field has gained popularity among the researcher throughout the globe over the past 10 years. Deep neural networks (DNN) and word vector models are employed nowadays and perform well in sentiment analysis. Among the different deep neural networks utiliz...

Full description

Saved in:
Bibliographic Details
Main Authors: Lal Khan, Atika Qazi, Hsien-Tsung Chang, Mousa Alhajlah, Awais Mahmood
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
Subjects:
Sentiment analysis
Word embedding
Machine learning
Deep learning
Bi-LSTM
CNN
Online Access:https://doi.org/10.1007/s40747-024-01631-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s40747-024-01631-9

Similar Items