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Repository Details
This project aims to develop a news event detection framework that will detect newsworthy events from tweets and generate headlines from them. We will first pass the tweets through threshold based clustering techniques to cluster tweets corresponding to a certain event based on their similarity, retweet map and Links. Finally, we will use those clusters to topic categorize the events and then generate headlines for that event using ML summarization techniques.