Automatic Email Response System in E-learning

E-Learning has become an essential element in everyday life. This method of teaching is being used to teach the students who are at remote location. This method has many advantages over the traditional method of teaching but there are several limitations in this method. One of those limitations is what if a student has a query? Probably, the answer seeking student will shoot an e-mail to the teacher along with his query and the teacher will reply with appropriate answer. The problem arises when many students ask the same query and the teacher has to reply each of them. There should be some kind of automation that can find that this query has been already answered and the system should reply with the appropriate answer. In this paper, we proposed an approach for an automatic email response system based on semantic similarity between queries and comparing between semantic similarity and semantic relatedness and find out which one is best for finding correct sense in query and finding score on the basis of sense match. System will be able to respond the email queries provided response will be available in the database.