Analyzing word embeddings and their impact on semantic similarity: through extreme simulated conditions to real dataset characteristics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F25%3A00061228" target="_blank" >RIV/61384399:31140/25:00061228 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00521-025-11231-4" target="_blank" >https://link.springer.com/article/10.1007/s00521-025-11231-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00521-025-11231-4" target="_blank" >10.1007/s00521-025-11231-4</a>

Result language
angličtina
Original language name
Analyzing word embeddings and their impact on semantic similarity: through extreme simulated conditions to real dataset characteristics
Original language description
Main topics of the document: word embeddings; semantic similarity; Word2Vec; FastText; evaluation
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Result description