| Full text | |
| Author(s): |
dos Reis Filho, Ivan Jose
;
Coleti, Jamille de Campos
;
Marcacini, Ricardo Marcondes
;
Rezende, Solange Oliveira
Total Authors: 4
|
| Document type: | Journal article |
| Source: | DATA IN BRIEF; v. 55, p. 9-pg., 2024-06-08. |
| Abstract | |
This dataset involves a collection of soybean market news through web scraping from a Brazilian website. The news articles gathered span from January 2015 to June 2023 and have undergone a labeling process to categorize them as relevant or non-relevant. The news labeling process was conducted under the guidance of an agricultural economics expert, who collaborated with a group of nine individuals. Ten parameters were considered to assist participants in the labeling process. The dataset comprises approximately 11,0 0 0 news articles and serves as a valuable resource for researchers interested in exploring trends in the soybean market. Importantly, this dataset can be utilized for tasks such as classification and natural language processing. It provides insights into labeled soybean market news and supports open science initiatives, facilitating further analysis within the research community. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC license ( http://creativecommons.org/licenses/by-nc/4.0/ ) (AU) | |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |
| FAPESP's process: | 19/25010-5 - Semantically enriched representations for Portuguese textmining: models and applications |
| Grantee: | Solange Oliveira Rezende |
| Support Opportunities: | Regular Research Grants |