205 citations · 377 across the 3 of their papers we have counts for
3 papers
A Combined CNN and LSTM Model for Arabic Sentiment Analysis
Abdulaziz M. Alayba, Vasile Palade, Matthew England +1
Deep neural networks have shown good data modelling capabilities when dealing with challenging and large datasets from a wide range of application areas. Convolutional Neural Netwo…
Improving Sentiment Analysis in Arabic Using Word Representation
Abdulaziz M. Alayba, Vasile Palade, Matthew England +1
The complexities of Arabic language in morphology, orthography and dialects makes sentiment analysis for Arabic more challenging. Also, text feature extraction from short messages…
Arabic Language Sentiment Analysis on Health Services
Abdulaziz M. Alayba, Vasile Palade, Matthew England +1
The social media network phenomenon leads to a massive amount of valuable data that is available online and easy to access. Many users share images, videos, comments, reviews, news…