Design and Implementation of a Social Media Sentiment Analysis System for Student Academic Discussions

Department: COMPUTER SCIENCE | Pages: 56 | Price: ₦5,000.00 Software Included

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Abstract

This project presents the design and implementation of a sentiment analysis system that evaluates students’ opinions expressed on social media regarding academic-related discussions. Using Natural Language Processing (NLP) and machine learning techniques, the system collects and analyzes text data to classify sentiments as positive, negative, or neutral. The findings provide insights into student attitudes toward courses, examinations, and institutional policies, supporting data-driven decision-making in educational institutions.

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