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Unbalanced sentiment classification: an assessment of ANN in the context of sampling the majority class

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Preprint: Unbalanced sentiment classification: an assessment of Artificial Neural Networks in the context of sampling the majority class https://t.co/eYywGaLdVr #datamining #datascience https://t.co/v6Q57daRcA
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Supplemental Information

Matlab code (.m and .mat) and raw data

DOI: 10.7287/peerj.preprints.26618v1/supp-1

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Rodrigo Moraes conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

João Francisco Valiati conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Wilson Pires Gavião Neto conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Funding

This work was supported by CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, Brazil) and CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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