Sajad Rezaei, Jafar Tanha, Seyedehsan Roshan, Zahra Jafari, Mahdi Molaei, Samira Mirzadoust, Mohammad Sadeghi, Amir Forsati, Tara Khoshamouz
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An experimental study of sentiment classification using deep-based models with various word embedding techniques
Nowadays, sentiment analysis is concerned with identifying and analysing text sentiment. Sentiment analysis has been used in many fields because of its applications in various domains. In the last ...
期刊介绍：
Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research.
The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following:
• cognitive science
• games
• learning
• knowledge representation
• memory and neural system modelling
• perception
• problem-solving
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