Conclusion

In conclusion, the Sentiment Analysis of MOOC Learner Reviews project addresses the imperative need for efficient analysis of online education feedback. Focusing on robust data pre-treatment, including data cleaning, feature engineering, and text preprocessing, the project strives to lay the foundation for accurate sentiment analysis. Emphasizing practical applications, such as course quality improvement and automated review categorization, this work sets the stage for enhancing MOOC platforms by optimizing the preparation of textual data for analysis.