Multi-Channel Embedding Convolutional Neural Network Model for Arabic Sentiment Classification

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: APPLIED SOFT COMPUTING ASSOC COMPUTING MACHINERY Volume:
Keywords : Multi-Channel Embedding Convolutional Neural Network Model , Arabic    
Abstract:
With the advent of social network services, Arabs’ opinions on the web have attracted many researchers in recent years toward detecting and classifying sentiments in Arabic tweets and reviews. However, the impact of word embeddings vector
    
     
 
       

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