Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media

Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media

Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people’s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is one of the most extensively utilized dialects....

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Bibliographic Details
Main Authors: Lal Khan, Ammar Amjad, Kanwar Muhammad Afaq, Hsien-Tsung Chang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
sentiment analysis
Roman Urdu language
LSTM
machine learning
deep learning
word embedding
Online Access:https://www.mdpi.com/2076-3417/12/5/2694

Internet

https://www.mdpi.com/2076-3417/12/5/2694

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