Vol. 5 No. 6 (2019) · Articles
Prof. Afroze Ansari
Asst Professor, Dept. Of CSE, K.B.N College of Engineering, Kalaburagi, VTU Belagavi, IN
Sana Naaz
Asst Professor, Dept. Of CSE, K.B.N College of Engineering, Kalaburagi, VTU Belagavi, IN
Keywords: Machine Learning, Automated scoring, Classifier, training data, descriptive answer.
Descriptive sort of answers or essay are the most ideal path for of surveying the student’s brilliance alongside connecting the various thoughts with the capacity to review, however are tedious when they are evaluated physically. Yet, one of the obstacles in essay assessment contrasted with various decision assessments is exertion and sufficient measure of time in assessment which is totally the matter of movement to achieve. Automated scoring when got tied up with use won't just diminish the season of scoring the article yet will likewise make the score sensible when contrasted with the evaluator score. This paper centres around the current mechanized exposition scoring frameworks, what are the innovations behind them and proposes another framework over the current ones with new highlights. Author prepare classifiers on the preparation data set, let it go concluded the downloaded dataset, and after that portion execution our dataset by contrasting the acquired score and the dataset values. Author executed classic utilizing java. Author have the machine learning technique to build the application.
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Prof. Afroze Ansari, Sana Naaz, “REAL –TIME AUTOMATED ESSAY EVALUATION SYSTEM FOR MULTIPLE USER,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 6, pp. 245-250, Jun 2019.
Copyright (c) 2019 Prof. Afroze Ansari, Sana Naaz
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