A Systematic Review - Sentiment Analysis Based on Movie Review

Abstract: The project “Sentiment Analysis Based on Movie Review” seeks to ascertain the sentimental tone of film reviews using a simple, user-friendly Python application. The system is developed using the Tkinter GUI library, allowing users to input a movie review and instantly receive sentiment feedback in an interactive interface. The analysis is founded on a lexicon-based methodology here predefined The provided text features lists that categorize words as either positive or negative. to evaluate the text. The program processes the user’s input by cleaning and comparing each word against these lists to determine how many favorable and negative terms. Based on this comparison, the system classifies the sentiment as Positive, Negative, or Neutral and provides a clear, color-coded output for improved visualization. This project demonstrates the integration of basic Natural Language Processing (NLP) techniques with a graphical user interface, providing a foundation for understanding sentiment classification. It highlights how Python can be used for text analysis and interactive application development. The model can further be enhanced by incorporating machine learning algorithms or large-scale datasets to improve accuracy and scalability for real-world applications.