Machine learning use for English texts’ classification (A mini-review)

Abstract

Using classification to retrieve information and extract data from text increases the reader's understanding of the content as well. As a result of advances in technology, new methods have been proposed that not only are highly accurate but also are faster than previous methods. Various factors have been used to classify the text to date, including “Sentiment Analysis, Language Detection, Intent Detection, Spam Detection, and Topic Detection”. In English linguistics, one of the most common problems is classifying texts according to their readability level. In this article, authors have reviewed machine learning use in the classification of English text in terms of difficulty and readability level. Moreover, authors attempt to discuss the drawbacks of the deep learning method in terms of accuracy and speed of action.