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Automatic Documentation and Mathematical Linguistics

Erschienen in:

01.07.2020 | TEXT PROCESSING AUTOMATION

Automatic Detection and Classification of Information Events in Media Texts

verfasst von: Al-dr A. Khoroshilov, R. R. Musabaev, Ya. D. Kozlovskaya, Yu. A. Nikitin, A. A. Khoroshilov

Erschienen in: Automatic Documentation and Mathematical Linguistics | Ausgabe 4/2020

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Abstract

The solution to the problem of automatically identifying and classifying information events in media texts is described based on the model of phraseological conceptual analysis of texts. The proposed solution is based on the use of previously developed methods for formalizing the semantic structure of sentences, as well as methods and algorithms for identifying fragments of media texts that describe information events. The developed algorithm implements the rules of C. Fillmore’s case grammar, which are based on the procedures of semantic–syntactic and conceptual analysis of texts.

Vorheriger Artikel On the Features of Implementation of the Solver of the JSM Method for Intellectual Data Analysis

Nächster Artikel Formal Grammar Theory in Recognition Methods of Unknown Objects

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The term information line is understood as the main topic of a message, which forces the target audience to discuss it. As a rule, an information line reflects important facts of the content of an event.

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Titel: Automatic Detection and Classification of Information Events in Media Texts
verfasst von: Al-dr A. Khoroshilov
R. R. Musabaev
Ya. D. Kozlovskaya
Yu. A. Nikitin
A. A. Khoroshilov
Publikationsdatum: 01.07.2020
Verlag: Pleiades Publishing
Erschienen in: Automatic Documentation and Mathematical Linguistics / Ausgabe 4/2020
Print ISSN: 0005-1055
Elektronische ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105520040032

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