NLP Techniques for Analyzing Tweets During Disasters #39
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The dataset for this project is sourced from Kaggle and focuses on analyzing tweets related to disaster events. It includes entries with the actual tweet content, featuring various expressions, hashtags, and user mentions, as well as a binary label indicating whether the tweet is about a disaster (1) or not (0). This dataset serves as a foundation for applying Natural Language Processing (NLP) techniques to classify tweets, allowing us to gain insights into public sentiment and the dissemination of information during critical events. By examining these tweets, we can better understand how social media acts as a communication tool in times of crisis.