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You are currently viewing all posts tagged with Entity Extraction.

Adapt Rosette Entity Extractor to Your Content for Increased Accuracy

Entity extraction is becoming a mission-critical tool for finding mentions of people, places, organizations, and products in massive quantities of text. In patent searches, law enforcement, voice-of-the-customer analysis, ad targeting, content recommendation, eDiscovery, and anti-fraud, entity extraction enables swift analysis of gigabytes of data. Among named entity recognition systems, those such as Rosette Entity Extractor […]

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Basis Technology Partners With Zoomd to Increase Web Content Monetization on Desktop and Mobile Browsers

Action Recommendation Engine Accelerates User Browsing and Decision Making CAMBRIDGE, Mass., Jul 17, 2014 - Basis Technology , the leader in multilingual search and text analytics, has partnered with Zoomd, whose innovative action recommendation platform empowers next browsing actions for desktop and mobile devices. Zoomd creates new revenue opportunities and increases conversion rates for search engines, […]

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Who, What, When, Where and the Quest for Why

The marriage of Geospatial Intelligence and Entity Resolution. This blog post is inspired by the many conversations we had at the recent GEOINT Symposium about how geospatial data can become an ideal pivot point for an entity resolution system enabling users to transition from When and Where to Who and What and the elusive Why.

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Cambridge Semantics Partners with Basis Technology

  • February 3, 2014
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Rosette® delivers multilingual entity extraction into the Anzo software suite for global organizations to better evaluate the larger story of its data Cambridge Semantics, the leading provider of Unified Information Access (UIA) solutions for enterprises, today announced it has incorporated the Rosette® platform from Basis Technology to provide its global customers with multilingual entity extraction […]

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Enhancing Apache Solr with Entity Extraction

In a July blog post, we presented the many virtues and uses of entity extraction. A particularly common application of entity extraction is to enhance search applications. Having metadata—such as person names, locations, organization names, and so forth—aids navigation by allowing faceting of search results, and offers more precise search options with the ability to query […]

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