The lexical context in a style analysis: A word embeddings approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F21%3AA220209C" target="_blank" >RIV/61988987:17250/21:A220209C - isvavai.cz</a>
Result on the web
<a href="https://www.degruyter.com/document/doi/10.1515/cllt-2018-0003/html" target="_blank" >https://www.degruyter.com/document/doi/10.1515/cllt-2018-0003/html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/cllt-2018-0003" target="_blank" >10.1515/cllt-2018-0003</a>

Result language
angličtina
Original language name
The lexical context in a style analysis: A word embeddings approach
Original language description
This is a pilot study of usability of Context Specificity measure for stylometric purposes. Specifically, the word embedding Word2vec approach based on measuring lexical context similarity between lemmas is applied to the analysis of texts that belong to different styles. Three types of Czech texts are investigated: fiction, non-fiction, and journalism. Specifically, forty lemmas were observed (10 lemmas each for verbs, nouns, adjectives, and adverbs). The aim of the present study is to introduce a concept of the Context Specificity and to test whether this measurement is sensitive to different styles. The results show that the proposed method Closest Context Specificity (CCS) is a corpus size independent method which has a promising potential in analyzing different styles.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
60203 - Linguistics

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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