The automatic assessment of subjective replies necessitates the use of Natural Language Processing and automated
assessment. Ontology, semantic similarity matching, and statistical approaches are among the strategies employed. But most of
the methods are based on an unsupervised approach. The proposed system uses an unsupervised method and is divided into two
modules.