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Twitter-Sentiment-Analysis

  • Built a machine learning model to classify tweets collected from the dataset provided by Analytics Vidhya as positive or negative.
  • Used text classification techniques like Text pre-processing, tokenizing and filtering of stop words.
  • Submitted the results to Analytics Vidhya and achieved an accuracy of 75% on the validation set. You can find the code here