PROMT Analyzer SDK

2016: PROMT Analyzer release

The PROMT company put in the spring of 2016 on the market of PROMT Analyzer — the solution in the field of artificial intelligence for work with Big Data in information and analytical systems. The tool is intended for search, extraction, generalization and structurization of information from almost any text content in different languages both in corporate systems, and in external sources.

According to IDC, the annual average growth rate of the world market of technologies and services for Big Data during the period from 2014 to 2019 will be 23.1% and will reach $48.6 billion in 2019. The popularity of text Big Data in the market is high, and the potential of these data for business depending on its sphere is high.

PROMT Analyzer analyzes any texts or documents, selects in it entities (a personnel, the organizations, place names, geopolitical entities, etc.) and also defines the actions corresponding to it entities, date and the place of commission of action, creates a complete image of the document. A system executes thin morphological, syntax and semantic analysis that allows to obtain precisely information from unstructured text data in different languages, interacting even with such morphologically rich languages as Russian and German.

PROMT Analyzer has the extensive database. Thanks to the innovative linguistic researches it selects in texts also the entities which are not provided in bases. Other feature of the program is simple setup — by introduction of value for new types of entities. Setup can happen including on client side that provides it complete confidentiality of work in the analysis, emphasized in the company.

The program integrated into information and analytical and search systems allows to solve the most different problems of the client in work with text material: the analysis of internal resources of the company (workflow system), the analysis of external resources (media, a blogosphere and so forth), data analysis, the closed sources received from, for assessment of criticality of situations, the analysis of activity of an object with a binding to geography and also optimization of search systems and support services. Using a system it is possible to reduce time for search of necessary information from the most different unstructured corporate documents (accounts, reports, technical specifications, news and so forth), and thanks to intellectual algorithms data retrieveds differ in the accuracy and relevance of the analysis, claim in PROMT. Search and information analysis in Internet content in different languages is also possible that it can be useful for different drawing up analytics both about the user behavior, and for specialists in the field of media, developers consider.