Sentiment Analysis Based on Movie Review

Abstract: The project titled “Sentiment Analysis Based on Movie Review” aims to determine the emotional polarity expressed in user-written movie reviews using a Python-based application. The system is developed with the Tkinter GUI library, allowing users to input a review and instantly obtain a sentiment evaluation. It applies a lexicon-based approach, utilizing predefined sets of positive and negative words to measure the overall tone of the text. After preprocessing and cleaning the input, the words are compared against these lexicons to calculate the frequency of positive and negative expressions. Based on the comparative results, the sentiment is classified as positive, negative, or neutral, and the outcome is displayed through color-coded indicators for better user interpretation. This project demonstrates the integration of natural language processing (NLP) methods with an interactive graphical interface, showing how Python can be employed for real-time sentiment detection. The system framework can later be extended using advanced NLP or machine learning models to achieve higher accuracy and scalability.