UTSA: Urdu Text Sentiment Analysis Using Deep Learning Methods

UTSA: Urdu Text Sentiment Analysis Using Deep Learning Methods

The Internet has seen substantial growth of regional language data in recent years. It enables people to express their opinion by incapacitating the language barriers. Urdu is a language used by 170.2 million people for communication. Sentiment analysis is used to get insight of people opinion. In r...

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Bibliographic Details
Main Authors: Uzma Naqvi, Abdul Majid, Syed Ali Abbas
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
deep learning models
Urdu language processing
sentence classification
word embeddings
Online Access:https://ieeexplore.ieee.org/document/9512062/

Internet

https://ieeexplore.ieee.org/document/9512062/

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