• 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