Faculty Evaluation System

An automatic system to analyze the textual feedbacks of faculty members teaching in any institute is proposed. The proposed system extracts all the important aspects from the feedbacks and then sentiment score of each aspect for each faculty is calculated using machine learning algorithms. The proposed system is flexible and versatile than the existing feedback evaluation system of teachers where students evaluate the teachers on predefined aspects decided by experienced and senior faculty and administrators. Our system, Faculty Evaluation System (FES) identifies strengths and weaknesses of teachers on all those aspects which are important to students. This information may also be used by higher authorities of the institute to form appropriate teams of faculty members for different academic and administrative activities of the institute.