New text summarization model uncovers unexpected insights in data mining.
Text summarizers help create short summaries of written documents. This paper explores how text summarization can be used in data mining to find interesting information. It discusses current methods and proposes a new model for summarization. The key idea is that summaries should include abstract concepts, not just sentences from the text. The paper uses news articles to show this.