SUBJECTIVE ANSWERS EVALUATION USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING

Abstract

This project proposes a novel approach that utilizes various machine learning, natural language
processing techniques, to evaluate descriptive answers automatically. Solution statements and keywords are
used to evaluate answers, and a machine learning model is trained to predict the grades of answers. With
enough training, the machine learning model could be used as a standalone as well. Experimentation produces
an accuracy of 97% with the Proposed model. Interestingly, artificial intelligence is utilized extensively as an
efficient tool for predicting such a problem. The proposed work utilizes the deep learning technique along with
some preprocessing steps to improve the prediction of Answer Evoluation.