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Advanced Student Feedback record system with Anonymity and added Access Control. Also uses machine learning algorithms to predict the sentiments of feedback and return improvement suggestion to individual teacher through separate dashboards . This project is inspired from https://github.com/pg815/Student_Feedback_System.

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Student Feedback & Dashboard System Using Sentiment Analysis

The goal of this project is to develop an automated robust feedback analysis system wherein the user has to write the feedback in application for departments and teachers, then we process and extract the data with the help of NLTK and then apply sentiment analysis using various machine learning algorithm and selecting best algorithm to extract the opinions and subjectivity from the student feedback by classifying them into 3 different categories :

  • Positive (1)
  • Neutral (0)
  • Negative (-1)

loginpage

Feedback Form

Department Feedback Dashboard

Staff Feedback Dashboard

Some Classified Sentiments

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Advanced Student Feedback record system with Anonymity and added Access Control. Also uses machine learning algorithms to predict the sentiments of feedback and return improvement suggestion to individual teacher through separate dashboards . This project is inspired from https://github.com/pg815/Student_Feedback_System.

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