Artificial intelligence

Abstract: The article concerns the new principles of search and selection of cognitive technologies texts in the Internet. The components of the knowledge base for the automated monitoring system are described. The approaches to developing of techniques for semantic search of texts with suggestion elements are proposed.

Keywords: natural language processing, text searching, suggestion

References:

1. http://nvo.ng.ru/concepts/2011-12-02/6_nanobioinfo.html
2. Suggestion technologies of manipulation influence: tutorial / [V.M. Petric, М.М. Prysiagnyuk, L.F. Compantseva, E.D. Skulysh, О.D.Boykо, V.V. Ostrouchov]; under the gen. еditorship of E.D. Skulysh. − К. : research and publishing department of NA SBU, 2010. − 248 p.
3. Marchenko O.O. Modeling of semantic context in the analysis of natural language texts. Bulletin of Taras Shevchenko National University of Kyiv. Ser. phis.-math. sci. – 2006. – № 3. – Р. 230-234.
4. Anisimov A.V., Marchenko O.O., Nykonenko A.O. UWN: Universal ontological knowledge base of Ukrainian language. Problems of programming. – 2012. – № 2 – 3. – Р. 348-355.
5. http://www.cmu.edu/homepage/computing/2010/fall/nell-computer-that-learns.shtml
6. Glibovets A.M. Algorithms for processing free-form text for extracting facts and links between them / Glibovets A.M, Marchenko O.O., Tsyganok D.V., Babich O.M. // Proceedings NaUKMA. Computer science.– 2012. – Vol. 138. – Р. 35-38.
7. Marchenko O.O., Nykonenko A.O. Context semantic analysis of text. System for text monitoring and quality evaluation of focal object. // Artificial intelligence. − 2008. − № 3.− Р. 808-813.
8. Bo Pang and Lillian Lee. Opinion mining and sentiment analysis // Foundations and Trends in Information Retrieval. – Vol. 2, № 1 – 2. – 2008. – Р. 1-135.