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The classifiers were trained using three supervised ml algorithms i.e., naïve bayes, support vector machine and decision tree. We evaluate the performance of each algorithm based on accuracy, providing a comparative analysis of their effectiveness. In this study, an intelligent and unique sentiment prediction system is developed for accurately classifying the positive, negative, and neutral comments from the social media dataset.
This study investigates how to analyze the sentiments conveyed in social media messages using machine learning techniques Using data from social media platforms like facebook and twitter, we aim to classify emotions into three categories
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