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View Code? Open in Web Editor NEWA program in Python that was tasked to analyse a large amount of data and then classify tweets according to their sentiment to positive, neutral and negative. The data were cleared, stemmed and the most common words were removed and after that they were vectorised using a number of methods, also including word embeddings (an algorithm we created ourselves) and then classified using the KNN and SVM algorithms.