Python being the main software used. This project analyzes the sentiment of tweets using natural language processing (NLP). It uses a dataset containing 1.6 million tweets, labeled as positive or ...
print(f'train dataset has: {train.shape[0]} rows {train.shape[1]} columns') print(f'test dataset has : {test.shape]0[} rows {test.shape]1[} columns') X = X_train ...
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