Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu

Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks. Deep networks initially conquered the problems of computer vision. However, dealing with sequential data such as text and sound was a nightmare for such networks as traditional deep...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Bilal Ahmed Chandio, Ali Shariq Imran, Maheen Bakhtyar, Sher Muhammad Daudpota, Junaid Baber
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Subjects:	sentiment analysis deep learning Roman Urdu neural networks LSTM attention networks
Online Access:	https://www.mdpi.com/2076-3417/12/7/3641