DOC-TAGS The Premier Release - Contextual, Accurate, Automatic Document Tagging
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October 2018, Winnipeg, Manitoba, Canada - DBI Technologies Inc., the award winning innovator of Interface Design, Scheduling and Text Analytic component software solutions proudly announces the premier release of Doc-Tags. Doc-Tags is a software solution for automatically processing Microsoft Word (.docx) and Text (.txt) files of any subject matter into each file's own list of contextually accurate document tags. The finished result places contextually accurate tags into the document's own profile Tag Property, elevating the processed documents into accurately relevant searchable resources. Long lost content can now be turned into valuable resources automatically by surfacing a documents key subject matter as keyphrase Tags making the content fully searchable by the file's contextually accurate document description tags. Doc-Tags is a software product that automatically creates a contextual list of accurate descriptive keywords and keyphrases (Tags) for any Microsoft Word (.docx) or text (.txt) file. Operating in anyone of six international languages; English, French, German, Japanese, Korean and Spanish, Doc-Tags automatically generates lists of contextually accurate Tags (key words) for each document and adds them to each file's Metadata - specifically the file's Tag Property. A Doc-Tags processed document becomes immediately searchable by its new set of contextually accurate key phrase tags. Unlike other keyword software, DBI dispenses with an industry common practice of using referential list comparison strategies (Bayesian inference/probability and Heuristics) and uses it's own xAIgent service to deliver uncommon contextual accuracy in an automated structure that does not require subject domain specific training. Doc-Tags will take content of any subject matter (in anyone of six supported languages) and automatically turn that content into a descending list of contextually accurate keyphrases ranked from most relevant to lesser relevant. "Without the xAIgent technology we would not have the context nor accuracy of our legal search services of CaseText and CARA," said Pablo Arredondo, Chief Legal Research Officer at Casetext. xAIgent, found at the heart of Doc-Tags, is a patented machine learning and artificial intelligence-based key term extraction RESTful web service. In addition to automatically surfacing a documents contextually accurate key phrases - Tags, Doc-Tags also provides its users with a relational XML database, w