Download Report IEEE DataPort : Automatic descriptive answer evaluator using machine learning. - 2026
PDF by Kamal Acharya
Information
Format: PDF Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/17/2026
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ISBN: 10.21227/h19b-ve35
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Description
Automating the evaluation of descriptive answers would be beneficial for academic institutions toefficiently manage the online exam results of their students. Our project involves designing analgorithm to automatically evaluate descriptive answers consisting of multiple sentences. Ourapproach involves representing the student's answer and comparing it with pre-defined answerscreated by the staff. To evaluate the answer, we use a pattern-matching algorithm and variousmodules to achieve efficient evaluation without manual labor. This pattern can be used by manyorganizations to reduce manpower and save time. Natural Language Processing (NLP) aims tointerpret human language in a meaningful way and typically involves machine learning techniques.Evaluating the objective function involves assessing candidate solutions against a portion of thetraining dataset, usually measured by an error score or loss. While the objective function is easy todefine, evaluating it can be costly.
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