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Automatic Tweet Detection based on Data Specified through News Production

Posts made by individuals on social media have become an indispensable source of information for existing media. In this paper, we describe an automatic Tweet detection system for supporting news production to acquire useful information from social media such as Twitter. The system uses character-based bi-directional long short-term memory with an attention mechanism and learns newsworthy Tweets specified by news producers as training data on a continuous basis. The performance of the system is expected to be improved by learning additional training data generated from its own operation history in news production site.