Arabic Sentiment Analysis (ASA) Using Deep Learning Approach

Arabic Sentiment Analysis (ASA) Using Deep Learning Approach

Sentiment analysis is one of the major fields in natural language processing whose main task is to extract sentiments, opinions, attitudes, and emotions from a subjective text. And for its importance in decision making and in people's trust with reviews on web sites, there are many academic res...

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Bibliographic Details
Main Authors: Abdulhakeem Qusay Al-Bayati, Ahmed S. Al-Araji, Saman Hameed Ameen
Format: Article
Language:English
Published: University of Baghdad 2020-06-01
Series:Journal of Engineering
Subjects:
Deep Learning (DL), Machine Learning (ML), Arabic Sentiment Analysis (ASA), word embedding, Long-Short Term Memory (LSTM), features
Online Access:http://joe.uobaghdad.edu.iq/index.php/main/article/view/1128

Internet

http://joe.uobaghdad.edu.iq/index.php/main/article/view/1128

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