Automatic viewpoints extraction and structuring in news speech article database

摘要

Recently, TV news programs are broadcast from all over the world owing to the broadcast digitization. In this situation, TV viewers want to select and watch the most interesting news articles. In order to satisfy this requirement, a system is required which can retrieve news documents related to TV viewer's interest. So far news articles related to TV viewer's queries are only retrieved. Consequently, it is difficult to retrieve the related news articles in a case where TV viewers can not give queries clearly and definitely. To solve this problem, in this paper, we propose a system which can structure the news speech article database by extracting viewpoints automatically and classifying the articles based on the extracted viewpoints. As an experimental result, it was found that the system is effective when TV viewers can not give queries clearly and definitely.