Arabic Sentiment Analysis of Eateries’ Reviews Using Deep Learning

After air and water, food is the third most essential thing for humans to provide energy development. More more customers of eateries, including restaurants cafes, express their opinion or sentiment about quality, ambiance, facilities. This research performs a analysis eateries’ reviews obtained in Qassim, Saudi Arabia. The are Arabic, local language region. We apply various models Long Short-Term Memory, deep learning technique. best approach achieved 83% accuracy. Furthermore, we also compared proposed methods with state-of-the-art machine ones, such as support vector machines, nearest neighbor, Naïve Bayes, random forest, logistic regression. results promising.