Doğal dil işleme kullanılarak metin tabanlı açık uçlu sorular için cevapların otomatik notlandırılması

Within the scope of this thesis, a Python module that automatically grades the answers to text-based open-ended questions has been developed using various technologies developed on the Python programming language. During the development of the module, the comparison of the answers given by the students with the answer in the solution key was carried out using various machine learning and natural language processing techniques. The answers analyzed by the module were compared with the answer key after they were transferred to the vector plane with the help of pre-trained models. Within the scope of this thesis, the data of the Natural Science course was selected for this comparison.