ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE

The article presents an algorithm of identifying advertisement blocks in mass media content and determining the type of the given text as either an advertisement or an informative text, which is enabled through automation with the aid of intellectual semantic and syntactic analysis systems. The GATE...

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Hoofdauteurs:	Kamensky, M. V., Каменский, М. В., Bredikhin, S. N., Бредихин, С. Н.
Formaat:	Статья
Taal:	Russian
Gepubliceerd in:	Volgograd State University 2025
Onderwerpen:	Advertisement content Semantic-and-syntactic analyzer Mass media Manipulative discourse Corpus analysis Automated search algorithms Automated analysis system
Online toegang:	https://dspace.ncfu.ru/handle/123456789/30451
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id	ir-123456789-30451
record_format	dspace
spelling	ir-123456789-304512025-05-13T11:26:08Z ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE Kamensky, M. V. Каменский, М. В. Bredikhin, S. N. Бредихин, С. Н. Advertisement content Semantic-and-syntactic analyzer Mass media Manipulative discourse Corpus analysis Automated search algorithms Automated analysis system The article presents an algorithm of identifying advertisement blocks in mass media content and determining the type of the given text as either an advertisement or an informative text, which is enabled through automation with the aid of intellectual semantic and syntactic analysis systems. The GATE corpus manager is used as the development environment for the algorithm, and the ANNIE Gazetteer, JAPE Transducer, and Java Regexp Annotator are used as the principal processing resources for the presented algorithm. The use of ANNIE Gazetteer enables the automated identification of the most common lexical units typical of advertisements, as well as various lexical and syntactic markers of the advertisement content. The JAPE Transducer technology enables the development of an algorithm aimed at identifying an array of lexical and syntactic means of psychological influence. Identification of lexical repetitions of proper nouns is performed using a regular expression for the Java Regexp Annotator processing resource. The list of tokens used as advertisement content markers is identified and described. It is noted that lexical and syntactic means of manipulative influence dominate in advertisement texts. Research findings indicate a significant difference in the search results ratio between advertisements and informative texts when advertisements are identified automatically with the aid of formal markers. This proves the effectiveness of natural language processing systems in identifying messages with explicit and implicit advertisement content, determining the discursive type of media texts, and classifying them as either informative texts or advertisements. 2025-05-13T11:24:22Z 2025-05-13T11:24:22Z 2025 Статья Kamensky M.V., Bredikhin S.N. ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE // Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriya 2. Yazykoznanie. - 2025. - 24 (1). - pp. 64 - 78. - DOI: 10.15688/jvolsu2.2025.1.6 https://dspace.ncfu.ru/handle/123456789/30451 ru Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriya 2. Yazykoznanie application/pdf application/pdf Volgograd State University
institution	СКФУ
collection	Репозиторий
language	Russian
topic	Advertisement content Semantic-and-syntactic analyzer Mass media Manipulative discourse Corpus analysis Automated search algorithms Automated analysis system
spellingShingle	Advertisement content Semantic-and-syntactic analyzer Mass media Manipulative discourse Corpus analysis Automated search algorithms Automated analysis system Kamensky, M. V. Каменский, М. В. Bredikhin, S. N. Бредихин, С. Н. ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
description	The article presents an algorithm of identifying advertisement blocks in mass media content and determining the type of the given text as either an advertisement or an informative text, which is enabled through automation with the aid of intellectual semantic and syntactic analysis systems. The GATE corpus manager is used as the development environment for the algorithm, and the ANNIE Gazetteer, JAPE Transducer, and Java Regexp Annotator are used as the principal processing resources for the presented algorithm. The use of ANNIE Gazetteer enables the automated identification of the most common lexical units typical of advertisements, as well as various lexical and syntactic markers of the advertisement content. The JAPE Transducer technology enables the development of an algorithm aimed at identifying an array of lexical and syntactic means of psychological influence. Identification of lexical repetitions of proper nouns is performed using a regular expression for the Java Regexp Annotator processing resource. The list of tokens used as advertisement content markers is identified and described. It is noted that lexical and syntactic means of manipulative influence dominate in advertisement texts. Research findings indicate a significant difference in the search results ratio between advertisements and informative texts when advertisements are identified automatically with the aid of formal markers. This proves the effectiveness of natural language processing systems in identifying messages with explicit and implicit advertisement content, determining the discursive type of media texts, and classifying them as either informative texts or advertisements.
format	Статья
author	Kamensky, M. V. Каменский, М. В. Bredikhin, S. N. Бредихин, С. Н.
author_facet	Kamensky, M. V. Каменский, М. В. Bredikhin, S. N. Бредихин, С. Н.
author_sort	Kamensky, M. V.
title	ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
title_short	ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
title_full	ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
title_fullStr	ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
title_full_unstemmed	ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
title_sort	algorithmic procedures of identifying advertisement texts in mass media discourse
publisher	Volgograd State University
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/30451
work_keys_str_mv	AT kamenskymv algorithmicproceduresofidentifyingadvertisementtextsinmassmediadiscourse AT kamenskijmv algorithmicproceduresofidentifyingadvertisementtextsinmassmediadiscourse AT bredikhinsn algorithmicproceduresofidentifyingadvertisementtextsinmassmediadiscourse AT bredihinsn algorithmicproceduresofidentifyingadvertisementtextsinmassmediadiscourse
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ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE

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