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Evaluation and Summarization of Student Feedback Using Sentiment Analysis

  • Neeraj Sharma
  • Vaibhav JainEmail author
Conference paper
  • 65 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1141)

Abstract

educational data mining facilitates educational institutions to discover useful patterns and apply them to improve the overall quality of education. analysing student feedback may help institutions to enhance student’s learning capabilities in the classroom. we propose a student feedback analysis system that helps in identifying sentiments from student reviews, and it further helps in generating the summary of feedback. it is implemented using sentiment analysis and text summarization techniques. based on our evaluation, the lexicon-based approach did better than traditional machine learning-based techniques. finally, we were able to generate a precise summary of student feedback.

Keywords

Educational data mining Sentiment analysis Machine learning Text summarization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Institute of Engineering and TechnologyIndoreIndia

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