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This aimed to analyze the sentiment of a text dataset using different classifiers in Python. I used TF-IDF to represent the text and performed K-NN classification also trained the dataset with Random Forest, Logistic Regression, and Deep Neural Network using Keras. I evaluated performance of different classifiers on the test set

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