International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
In current educational system, teachers follow manual checking process for assessing the students' performance. They search for the key points in the answers and based on their relevance in the text, grade the students. Checking each and every student's assignment and paper manually is a very tiresome, lengthy and prolonged process. Also there are chances that they may overlook some of the points which the student might have mentioned in their answers and it may reduce the student's grade. This paper presents a mining tool to highlight the sentences that contains the relevant key terms of extracted questions and proposes its use in educational applications. The concepts of pattern matching have been employed to analyze texts and build graphs to represent the overall performance.