A Comparison between Machine Learning Researches that use Arabic Text: A Case Study of Social Media Datasets

The world is directed to use the huge data and use it in a beneficial way, this allowed researchers to think about how to classify these data, which have many shapes, speeds and sizes, as it was important to study the data that are in social media, analyse and benefit from it through its classification. We used more than 20 papers to compare how the researchers use different algorithms to classify the huge data that comes through social networking sites and the most important language they used to classify the text was the Arabic language. The researchers concluded that deep learning and convolution neural networks speed up the classification process.