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

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
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
Series:Applied Sciences
Subjects:
sentiment analysis
deep learning
Roman Urdu
neural networks
LSTM
attention networks
Online Access:https://www.mdpi.com/2076-3417/12/7/3641

Internet

https://www.mdpi.com/2076-3417/12/7/3641

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