数据集: 有注释的大豆市场新闻文章.
Ivan José Dos Reis Filho1, Jamille de Campos Coleti1, Ricardo Marcondes Marcacini2
1State University of Minas Gerais (UEMG) at Frutal, Brazil.
Data in brief
|July 2, 2024
概括
这一数据集提供了来自巴西 (2015-2023) 的标签大豆市场新闻,有助于农业经济学研究和自然语言处理应用.
科学领域:
- 农业经济学 农业经济学
- 数据科学数据科学数据科学
- 自然语言处理自然语言处理.
背景情况:
- 对大豆市场的分析需要及时和相关的信息.
- 网络抓取提供了一种从在线来源收集数据的方法.
- 数据标签对于机器学习模型训练至关重要.
研究的目的:
- 为了创建一个标记的数据集的巴西大豆市场新闻.
- 支持农业经济学研究和市场趋势分析.
- 为了促进自然语言处理 (NLP) 任务.
主要方法:
- 网络抓取被用来从巴西网站收集新闻文章.
- 新闻文章从2015年1月到2023年6月收集.
- 一个由农业经济学专家指导的标签过程,涉及九个人,使用十个参数将新闻分类为相关或无关.
主要成果:
- 汇编了大约11000个标记大豆市场新闻文章的数据集.
- 数据集为与市场相关的信息提供了分类的见解.
- 数据结构为用于分类和NLP任务.
结论:
- 创建的数据集是大豆市场研究的宝贵资源.
- 它通过提供可访问的标记数据来支持开放科学倡议.
- 研究人员可以利用这一数据集进行趋势分析和预测建模.
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