Study of Subjective Answer Evaluation using Natural Language Processing and Machine Learning

Now a days, as we are moving towards automation there is a need for an automatic subjective answer evaluation system. Manual evaluation is a time and energy-consuming task. Currently, the online answer evaluation is available for mcq based question, hence evaluation of the theory answer is hectic for the checker. Evaluator manually checks the answer and allot the marks. Sometimes quality of evaluation may change according to mood of evaluator.The current system takes more manpower and time to evaluate the answer. It will be very helpful for educational institutions if the process of evaluation of descriptive answers is automated to capably assess student’s exam answer sheets. The system will evaluate the answer based upon the number of words and number of letters from extracted text from the pre-processed data