Fuzzy Natural Logic for Sentiment Analysis: A Proposal
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F21%3AA2202C4D" target="_blank" >RIV/61988987:17610/21:A2202C4D - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/book/10.1007/978-3-030-86887-1#about" target="_blank" >https://link.springer.com/book/10.1007/978-3-030-86887-1#about</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Natural Logic for Sentiment Analysis: A Proposal
Original language description
Fuzzy Natural Logic (FNL) is introduced as a model that could be useful in the area of sentiment analysis. FNL is a formal theory of human reasoning that includes mathematical models of the semantics of natural language expressions with regard to the vagueness phenomenon. The most elaborated constituent of FNL is the theory of evaluative linguistic expressions. To capture their semantics, it uses a single scale for computing extension of any evaluative expression that might be relevant for sentiment analysis. Therefore, it provides a more fine-grained classification of opinion and sentiments than dichotomous models which only distinguish between ‘positive’ and ‘negative’ values. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
<a href="/en/project/EF18_053%2F0017856" target="_blank" >EF18_053/0017856: Strengthening the university's scientific capacities II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fuzzy Natural Logic for Sentiment Analysis: A Proposal
ISBN
978-3-030-86887-1
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
10
Pages from-to
64-73
Publisher name
Springer, Cham
Place of publication
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Event location
Salamanca
Event date
Oct 6, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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