Text engine will analyse sentiment

Jun 04, 2009 at 07:12 pm by Staff


An upcomingTME 5 upgrade to Nstein Technologies’ award-winning Text Mining Engine includes Web 3.0 compliance, linguistic enhancements and a suite of management tools to allow greater flexibility and control of semantic metadata. Features are designed to provide the most relevant content to enhance the user experience – thereby driving productivity gains, readers' stickiness and brand loyalty – the company says. Now in its fifth generation, the new release (due this northern autumn) is ‘RESTful’, respects W3C standards and is fully Web 3.0 ready to support the newest iteration of the internet. It includes new linguistic tools aimed at managing the metadata, and provides new taxonomies. TME 5 also supports ‘faceted sentiment analysis’, which tells an editor not only if an article is positive or negative – but the tone toward any given subject within the story. Because of the vast amounts of metadata that can now be collected and stored, TME 5 will also offer a suite of five administration modules to more easily manage the different components to generating metadata, namely documents, authority files, taxonomies and ontologies. Since its inception a decade ago, TME continues to be the core intelligence driver to Nstein's DAM (digital asset management) and WCM (web content management) solutions. TME parses sentences identifying and extracting their grammatical elements, and uses a refined combination of semantic and computational analysis to determine the “aboutness” of any document, calculate a “linguistic DNA” and use that calculation to find other pieces of content that closely match it. Nstein systems are used by media companies including the Financial Times, Hearst Newspapers, Reed Business Information, Scripps Network, Bonnier Corporation and Transcontinental Media.
Sections: Digital technology

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