Text Document Clustering using Hashing Deep Learning Method

Internet exploration is the use of data mining systems to discover patterns of information and relationships from internet data via data mining techniques. The aim of this study is to locate an efficient algorithm for web news mining with analysis of web news data using data clustering and classification procedures based on deep learning, as well as to evaluate the best way to use site news information algorithms compared to other technologies, and to assess the reliability of the internet news databases that are used as tools and techniques for data mining. In this study, we used an effective algorithm (H ash) that is used to collect and classify data for the best classification of Internet news with results close to 95. 66% accuracy.