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View Code? Open in Web Editor NEWThis sentiment analysis project extracts features such as content length, tokens, hashtags, bad words, and various emojis. It also includes word features. Preprocessing steps include removing stop words, non-Arabic characters, consecutive redundant characters, and stemming to improve the models' accuracy in classifying the tweets. Max accuracy 88%.