Evaluation of Faculty Performance in Education System Using Classification Technique in Opinion Mining Based on GPU

Abstract

Large amount of data is available in the form of reviews, opinions, feedbacks, remarks, observations, comments, explanations and clarifications. In Education system, main focus is given to quality of teaching. That quality depends on coordination among teacher and student. Feedback analysis is more important to measure the faculty performance. Performance of faculty should be evaluated so that we can enhance our education quality. To measure the performance of faculty, we use classification technique by using opinion mining. We also use this technique on GPU architecture using CUDA-C programming to evaluate performance of a faculty in very less time. This paper uses opinion mining concept with GPU to extract performance of a faculty.