Sentiment Analysis in Agriculture

Jiří Novák, Petr Benda, Edita Šilerová, Jiří Vaněk and Eva Kánská

AGRIS on-line Papers in Economics and Informatics, 2021, vol. 13, issue 01

Abstract: 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.

Keywords: Agricultural and Food Policy; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/320252/files/S ... in%20Agriculture.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aolpei:320252

DOI: 10.22004/ag.econ.320252

Access Statistics for this article

More articles in AGRIS on-line Papers in Economics and Informatics from Czech University of Life Sciences Prague, Faculty of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search (aesearch@umn.edu).