E3 : Keyphrase based News Event Exploration Engine
This addresses the problem of information overload for news audiences by offering a tool to explore events, but it is incremental as it builds on existing keyphrase extraction methods.
The paper introduces E3, a system that extracts and enriches keyphrases from news content to provide a broad overview of high-volume news events, using tagging, ranking, and novelty analysis based on publication dates.
This paper presents a novel system E3 for extracting keyphrases from news content for the purpose of offering the news audience a broad overview of news events, with especially high content volume. Given an input query, E3 extracts keyphrases and enrich them by tagging, ranking and finding role for frequently associated keyphrases. Also, E3 finds the novelty and activeness of keyphrases using news publication date, to identify the most interesting and informative keyphrases.