DocumentCode :
3725441
Title :
Sentiment analysis and Feedback Evaluation
Author :
Alok Kumar;Renu Jain
Author_Institution :
Department of Computer Science and Engineering, UIET, CSJM University, Kanpur, India
fYear :
2015
Firstpage :
433
Lastpage :
436
Abstract :
Feedback Evaluation is a necessary part of any institute to maintain and monitor the academic quality of the system. Traditionally, a questionnaire based system is used to evaluate the performance of teachers of an institute. Here, we propose an automatic evaluation system based on sentiment analysis, which shall be more versatile and meaningful than existing system. In our proposed system, feedback is collected in the form of running text and sentiment analysis is performed to identify important aspects along with the orientations using supervised and semi supervised machine learning techniques.
Keywords :
"Sentiment analysis","Feature extraction","Support vector machines","Training","Entropy","Mutual information"
Publisher :
ieee
Conference_Titel :
MOOCs, Innovation and Technology in Education (MITE), 2015 IEEE 3rd International Conference on
Type :
conf
DOI :
10.1109/MITE.2015.7375359
Filename :
7375359
Link To Document :
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