GPU based reduce approach for computing faculty performance evaluation process using classification technique in opinion mining
by Brojo Kishore Mishra; Abhaya Kumar Sahoo; Chittaranjan Pradhan
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 10, No. 3, 2018

Abstract: Today's competitive market, education system plays a main role in creating better students. To create better students, main focus is given to the quality of teaching. That quality can be achieved due to better coordination among faculty and student. To get better quality of teaching, faculty performance should be measured by feedback analysis. Performance of faculty should be evaluated so that we can enhance our educational quality. Here we used opinion mining by which large amount of data can be available in the form of reviews, opinions, feedbacks, remarks, observations, comments, explanations and clarifications. So, we collected feedback about faculty from students through feedback form. To measure the performance of faculty, we used a classification technique by using opinion mining. We also used this technique on graphics processing unit (GPU) architecture using compute unified device architecture using C (CUDA-C) programming model as well as map reduce programming model to evaluate performance of a faculty. Then we compared between GPU with reduce approach and map reduce approach for getting faster result. This paper uses GPU architecture for CUDA-C programming and Hadoop framework tool for map reduce programming for faster computation of faculty performance evaluation.

Online publication date: Fri, 17-Aug-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Analysis Techniques and Strategies (IJDATS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com