Sentiment Analysis in Agriculture

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.

YouTube as an information source of floating agriculture: analysis of Bengali language contents quality and viewers’ interaction

“…To comprehend public opinion in agriculture, sentiment analysis is a strong method. However, very few studies have been undertaken in agriculture, thus Novák et al. (2021) advocated sentiment analysis to investigate public opinion.…”

ENAGRINEWS:An English News Dataset for Agriculture

“…Agricultural sentiment analysis is the identi∂cation of subjective information in text, and consequently, it is often referred to as opinion mining, and therefore it is used to identify opinions about agricultural subjects [8]. The subjects that sentiment analysis has been applied to are income, futures and pests [8]. Opinions can in∑uence the prospects of a crop or agricultural entity, and therefore sentiment analysis can have predictive qualities.…”

Analisis Sentimen Ketidakstabilan Harga Gabah Berbasis Data Twitter

“…Analisis sentimen atau penambangan opini saat ini juga merupakan topik yang paling aktif diteliti di bidang pemrosesan bahasa alami. Meskipun menjadi alat yang sangat kuat, namun tidak banyak digunakan di sektor pertanian [1]. Salah sektor pertanian yang dapat diangkat dalam riset analisis sentimen adalah pertanian pangan yang memasok kebutuhan pangan bagi manusia dimana pelaku utamanya antara lain adalah para petani sebagai produsen.…”