Design and Implementation of a Sentiment Analysis System for Customer Product Reviews
Computer Science — 2025, Undergraduate
natural language processingsentiment analysisreviewsmachine learning
This study designed and implemented a Sentiment Analysis System that classifies customer product reviews as positive, neutral, or negative. Businesses struggle to interpret the large volume of unstructured review text generated by customers. The system applies text preprocessing and machine learning classifiers to derive overall sentiment from review collections. Built with Python Django and SQLite, the system was evaluated using labelled review datasets. Findings showed reliable sentiment classification and useful aggregation of customer opinions. The study recommends integration of the system into e-commerce platforms to inform decision-making.
Ad slot
Homepage screenshot
