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E3 : Keyphrase based News Event Exploration Engine
September 11, 2016 Β· Declared Dead Β· π ACM Conference on Hypertext & Social Media
"No code URL or promise found in abstract"
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Authors
Nikita Jain, Swati Gupta, Dhaval Patel
arXiv ID
1609.03176
Category
cs.IR: Information Retrieval
Citations
4
Venue
ACM Conference on Hypertext & Social Media
Last Checked
4 months ago
Abstract
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.
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