Mohsen Hajighorbani - Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Seyyed Mohammad Reza Hashemi - Department of Computer Engineering and Information Technology, Payame Noor University, Iran
Ali Broumandnia - Faculty of Computer and Information Technology Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Maryam Faridpour - Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran

In recent years the use of data-mining techniques as well as smart algorithms has become common. Several tasks, formerly done at the expense of significant amounts of time and money, can be performed by means of these techniques and algorithms. On the other hand, many of our sources are textual ones.During all these years, there have been different classifications with varying approaches for this task. It is noteworthy that the possibility of automatization of these classifications relies on new texts. This paper deals with basic concepts, concerning data-mining and text-mining, reviewing some semi-supervised learning methods. It also gives a review some common algorithms in this area and finally presents the summary and conclusion.

data-mining, text-mining, learning, semi-supervised, classification