In this project, it is aimed to implement a named entity recognition tool for Turkish based on the thesis that Hakan Demir conducted in 2014. A named entity recognition tool is a program which seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. Considering it is a morphologically rich language, Turkish texts were tried to be classified. Turkish is considered so since it is an agglutinative and inflectional language.