Automated Demand / Suggestion Systems

We are experiencing a developing world with the emergence and development of computers and the rapid progress of technology at these days. Computers provide convenience in many areas of our lives. They can make automaticaly people's jobs done more easily and quickly. In addition to the development of computers, people have begun to store the information. They have accessed through the developing techonology. They are available for various databases to store information. Information must be stored in a categorized form to access easily was stored text in databases. At first people were doing the categorization manually. But nowadays, this process is made automatically through machine learning algorithms which are being developed and widely used today. In this study, eight of machine learning classification algorithms were studied on 5200 documents which were previously labelled. The accuracy, recall, precision and F-measure values of the algorithms on the data are compared. According to the test results, GradientBoostigClassifier algorithm has the most successful result.