Developing an Algorithm for Auto Generating System in Evaluation of Single Sentence Descriptive Students Answer in Online Examination System
Uniform evaluation of subjective answer is a challenging task for universities and colleges. This paper propose a
model for automatic evaluation of single sentence descriptive answer. The propose model generates the score on the basis of
the value of the Cosine similarity of the model answer created by the teacher and student answer. The term frequency (TF)
and inverse document frequency (IDF) technique is used to find the term weight present in the model answer document and
student answer document.
Keywords - Cosine similarity, Term weight, Term frequency, Inverse document frequency