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