gautamgc17/Student-Feedback-Sentiment-Analysis
Sentiment analysis system using NLP and machine learning techniques to determine the polarity of the feedback obtained from students in order to improve teaching and learning.
This system helps educational institutions and educators automatically analyze student feedback. You provide raw student comments, typically from surveys or forms, as a CSV file. It processes these comments and categorizes them as positive, neutral, or negative, providing insights into student perceptions of learning materials and course content. This is for academic administrators, department heads, or teachers looking to quickly understand large volumes of student opinions.
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Use this if you need to efficiently process and understand the sentiment of numerous student feedback responses to improve course quality or institutional performance.
Not ideal if you require nuanced qualitative analysis or a system that can understand sarcasm or highly complex language patterns beyond basic sentiment.
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21
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10
Language
HTML
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Last pushed
Jan 01, 2025
Commits (30d)
0
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