Abstract
Movie Reviews Using Sentiment Analysis is a research project that explores the application of natural language processing techniques for analyzing and classifying sentiments in movie reviews. The project involves collecting a large dataset of movie reviews from various sources, processing and cleaning the data, and then applying machine learning algorithms to train a model that can predict the sentiment of a given movie review. The project also involves evaluating the performance of the model using various metrics, such as accuracy, precision, recall, and F1 score. The results of the project demonstrate the effectiveness of sentiment analysis techniques in predicting the sentiment of movie reviews and can be applied in various fields, such as movie recommendation systems, market research, and opinion mining.
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