Sentiment Analysis in Agriculture
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F21%3A89096" target="_blank" >RIV/60460709:41110/21:89096 - isvavai.cz</a>
Result on the web
<a href="https://online.agris.cz/archive/2021/01/09" target="_blank" >https://online.agris.cz/archive/2021/01/09</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7160/aol.2021.130109" target="_blank" >10.7160/aol.2021.130109</a>
Alternative languages
Result language
angličtina
Original language name
Sentiment Analysis in Agriculture
Original language description
Sentiment analysis is currently the most actively researched topic in the field of natural language processing, however, despite it being such a powerful tool, it is not very widely used in the agrarian sector. This research focuses on the discovery and analysis of scientific literature related to Sentiment analysis in agriculture, to provide an overview of how and where Sentiment analysis is used in the agrarian sector and which methods are most commonly used. This article also discusses which applications of Sentiment analysis yield the most benefits and suggests a direction for future research.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
AGRIS on-line Papers in Economics and Informatics
ISSN
1804-1930
e-ISSN
1804-1930
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
121-130
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85104058807