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Interesting-phrase mining for ad-hoc text analytics
2010
Proceedings of the VLDB Endowment
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework for performing text analytics on such data in a versatile, efficient, and scalable manner. While much of the prior literature has emphasized mining keywords or tags in blogs or social-tagging communities, we emphasize the analysis of interesting phrases. These include named entities, important quotations, market
doi:10.14778/1920841.1921007
fatcat:lmkv2yfnarhchmxszer4zsnsja