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Dataset . 2023
Data sources: B2FIND
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Dataset . 2024
Data sources: B2FIND
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Dataset . 2024
License: CC BY
Data sources: Datacite
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Dataset . 2024
License: CC BY
Data sources: Datacite
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Mendeley Data
Dataset . 2023
License: CC BY
Data sources: Datacite
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Soybean Market News Dataset

Authors: José dos Reis Filho, Ivan;

Soybean Market News Dataset

Abstract

This dataset encompasses a comprehensive collection of soybean market news articles, meticulously curated and labeled for relevance. Collected from the prominent Brazilian website "noticiasagricola.com.br" from January 2015 to June 2023, the dataset features a diverse range of content, including international, national, and regional perspectives.Features: Data Attributes: Date, headline, content, label, and embeddings from three pre-trained BERT models (Paraphrase Multilingual, Distilbert Multilingual, and BERTimbau). Labeling: News articles are labeled as either relevant or irrelevant, providing a binary classification for ease of analysis. Coverage: The dataset spans various aspects of the soybean market, offering insights into climate conditions, research findings, consulting information, technological advancements, diseases and pests, and logistics. Language: PortuguesePotential Applications: Natural Language Processing (NLP) tasks; Machine Learning Task(ML); Multimodal Predictions.Benefits: Diverse sources (544 international, national, and regional providers); Enriched with embeddings for advanced NLP applications Covers a wide range of soybean market aspectsUsage: Researchers and practitioners in the fields of agriculture, economics, and data science can leverage this dataset for in-depth analyses, model development, and trend exploration within the soybean market. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Keywords

Text Mining, Text Processing, Labeling Technique, Interdisciplinary sciences, Other, Natural Language Processing

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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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