Sentiment Analysis in Agriculture

Jiří NovákPetr BendaEdita ŠilerováJiří VaněkEva Kánská

DOI 10.7160/aol.2021.130109
No 1/2021, March
pp. 121-130

Novák, J., Benda, P., Šilerová, E., Vaněk, J. and Kánská, E. (2021) “Sentiment Analysis in Agriculture", AGRIS on-line Papers in Economics and Informatics, Vol. 13, No. 1, pp. 121-130. ISSN 1804-1930. DOI 10.7160/aol.2021.130109.

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

Sentiment analysis, agriculture, opinion mining, natural language processing, text mining.

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