Ontotext S4 Text Analytics - News Analytics

Description

The News Annotation service retrieves various types of entities from texts as well as the relations between them. The extraction is based on gazetteers from trusted sources (such as the curated Freebase, DBpedia, etc.) and a combination of rule-based and machine learning technique

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Ontotext

The driving force behind everything we do is to put enterprises back in control of their knowledge assets and to help them run, grow and evolve their business efficiently. By transforming the way organizations identify meaning across diverse datasets and massive amounts of unstructured information, we help them see a much bigger picture. We make this possible because we know how to combine semantic graph databases with text mining and machine learning. This brings data and content together in big knowledge graphs to allow better interlinking, interpreting, analyzing and reuse.

Pricing

Quote upon request

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Comments


${comment.user__first_name}$ ${comment.user__last_name}$

${ new Date(comment.created_at).getFullYear() + "/" + new Date(comment.created_at).getMonth() + "/" + new Date(comment.created_at).getDate() + " " + new Date(comment.created_at).getHours() + ":" + new Date(comment.created_at).getMinutes() }$
${comment.content}$

Reply

${response.user__first_name}$ ${response.user__last_name}$ modifier

${ new Date(response.created_at).getFullYear() + "/" + new Date(response.created_at).getMonth() + "/" + new Date(response.created_at).getDate() + " " + new Date(response.created_at).getHours() + ":" + new Date(response.created_at).getMinutes() }$
${ response.content }$

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