Informatics and Applications
2020, Volume 14, Issue 1, pp 113-120
ANALYTICAL TEXTOLOGY IN INTELLIGENT PROCESSING SYSTEMS FOR UNSTRUCTURED DATA
- E. B. Kozerenko
- M. Y. Mikheev
- N. V. Somin
- L. I. Ehrlich
- K. I. Kuznetsov
Abstract
The paper presents a new field of research at the intersection of linguistics, computer science, and philology involving logical and statistical methods of analyzing unstructured data in the form of natural language texts in order to solve a number of the tasks of extracting explicit and implicit knowledge from texts using a semantics-oriented linguistic processor, forming lexical statistical representations of texts, building analytical conclusions, discovery of the author's idiostyle and textual similarity of literary works based on the analysis of service words and other microtext elements; identifying the sentiment of texts, building a full profile of the author's text based on the superposition of methods. The example of the textological analysis of the "Blue Book" of the "Petersburg Diary" by Zinaida Hippius is considered.
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[+] About this article
Title
ANALYTICAL TEXTOLOGY IN INTELLIGENT PROCESSING SYSTEMS FOR UNSTRUCTURED DATA
Journal
Informatics and Applications
2020, Volume 14, Issue 1, pp 113-120
Cover Date
2020-03-30
DOI
10.14357/19922264200115
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
natural language processing; statistical methods; cognitive technology; lexical semantic analysis; knowledge extraction from texts; analytical systems
Authors
E. B. Kozerenko  , M. Y. Mikheev  , N. V. Somin , L. I. Ehrlich , and K. I. Kuznetsov
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Research Computing Center Lomonosov Moscow State University, 1, bld. 4 Leninskie Gory, Moscow, GSP-1, 119991, Russian Federation
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