K. J. Somaiya

Computer based evaluation of students’ performance is playing a vital role worldwide for ELP examinations. This method is more efficient than manual evaluating process. In this study, a new method is proposed to evaluate the examinees descriptive answers using Text Mining and Text processing algorithms with the help of Natural Language Processing tools. This system includes three sections of ELP, namely: reading, writing and speaking. Dataset for the examination process is extracted using the UiPath platform from reference books which are stored into the database. On taking a test, the system automatically calculates the result and polarity of the subjective answers using NLP and fuzzy logic. In this study, we used Rasch algorithm for adapting to the ability of the examinee for question difficulty level selection and also evaluate the same answer using Natural language processing (NLP) algorithm to check grammar mistakes, polarity and stores the marks in database and finally represent them graphically for better visualization of results.