Needle in the Noise: Detecting Public Safety Events Over Twitter
The recent advent of using social media and search engine queries to detect and classifying events is an emerging area in data science. This study uses current Natural Language Processing (NLP) techniques for deep learning combined with classical techniques (heuristic) to detect incidents. Individual tweets will be processed into features and correlated to detect public safety related events. These features will be derived using both classic and modern techniques. Classic features include the use of sentiment/emotion detection, word encoding, named entity recognition, and other classic semantic ...
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