Sketching Emotions: A corpus-based study of emotional states in English using Sketch Engine

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AU7NKDKAY" target="_blank" >RIV/00216208:11320/26:U7NKDKAY - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.donnu.edu.ua/" target="_blank" >https://journals.donnu.edu.ua/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sketching Emotions: A corpus-based study of emotional states in English using Sketch Engine

Popis výsledku v původním jazyce

Emotions are central to human cognition and communication, yet their verbal expression remains a complex linguistic phenomenon. The articulation of emotional states in language involves intricate combinations of lexical choices, syntactic structures, and pragmatic functions. While emotion has long been a topic of interest in psychology and philosophy, modern corpus linguistics enables empirical analysis of emotion-related language on a large scale. This study aims to analyze the linguistic representation of emotional states in modern English using the Sketch Engine corpus analysis system. Sketch Engine is a powerful web-based corpus query system developed by Lexical Computing Ltd. for exploring and analyzing language data across various corpora. Designed for both linguistic research and lexicographic applications, Sketch Engine allows users to work with pre-loaded corpora or to upload and build their own using tools for lemmatization, part-of-speech tagging, and statistical analysis (Kilgarriff et al., 2022). The system supports over 90 languages and provides access to billions of words in structured datasets, including the British National Corpus (BNC) (Bober et al., 2021), enTenTen (a web-crawled corpus for English), GloWbE (Global Web-Based English), and many more. This makes it an essential platform for contrastive linguistic research, lexicography, language teaching, and semantic analysis.

Název v anglickém jazyce

Sketching Emotions: A corpus-based study of emotional states in English using Sketch Engine

Popis výsledku anglicky

Emotions are central to human cognition and communication, yet their verbal expression remains a complex linguistic phenomenon. The articulation of emotional states in language involves intricate combinations of lexical choices, syntactic structures, and pragmatic functions. While emotion has long been a topic of interest in psychology and philosophy, modern corpus linguistics enables empirical analysis of emotion-related language on a large scale. This study aims to analyze the linguistic representation of emotional states in modern English using the Sketch Engine corpus analysis system. Sketch Engine is a powerful web-based corpus query system developed by Lexical Computing Ltd. for exploring and analyzing language data across various corpora. Designed for both linguistic research and lexicographic applications, Sketch Engine allows users to work with pre-loaded corpora or to upload and build their own using tools for lemmatization, part-of-speech tagging, and statistical analysis (Kilgarriff et al., 2022). The system supports over 90 languages and provides access to billions of words in structured datasets, including the British National Corpus (BNC) (Bober et al., 2021), enTenTen (a web-crawled corpus for English), GloWbE (Global Web-Based English), and many more. This makes it an essential platform for contrastive linguistic research, lexicography, language teaching, and semantic analysis.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

""

ISBN

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ISSN

2307-633X

e-ISSN

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Počet stran výsledku

3

Strana od-do

1-3

Název nakladatele

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Místo vydání

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Místo konání akce

Donetsk, Ukraine

Datum konání akce

1. 1. 2026

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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