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

Result code in 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>

Result on the web

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

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

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Publication year

2025

Confidentiality

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

Article name in the collection

""

ISBN

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ISSN

2307-633X

e-ISSN

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Number of pages

3

Pages from-to

1-3

Publisher name

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Place of publication

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Event location

Donetsk, Ukraine

Event date

Jan 1, 2026

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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