Extraction System of Important Tweets for News Program Production

Abstract

We have been developing a system for automatic extraction of important tweets for news program production. In this paper, we show a system which shows important tweets that are automatically extracted and categorized using neural network. The system collects feedbacks from users, which can be used as additional training data to improve the accuracy of extracting tweets.