Application of Text Mining Techniques for Evaluating Examination Question Paper

Academic institutions regularly record huge amount of data relating to various university-based examinations for different courses. We address the problem of evaluating the question papers by analyzing each question of a question paper on different criteria. University-specified syllabus file for each subject in a particular semester along with the Bloom's Taxonomy concept is used as a guideline in evaluating the difficulty level of the examination question paper in that subject. Text mining techniques are used to extract keywords from textual contents in the syllabus file and question paper. A tool named Mining Exam Question Paper Based on Syllabusis implemented. This tool can be used by concerned authorities to evaluate the examination question papers of theoretical papers.