• Resumo

    Classificação de Textos Escolares com Aprendizado de Máquina

    Data de publicação: 03/05/2023

    Nowadays, during the teaching-learning process, it is prevalent
    for students to seek information about the subjects to complement
    studies or execute school work. For this, it is possible to use search
    engines on the Internet, but the texts do not always have the complexity
    compatible with the student’s level of education. A solution
    for this purpose is the automatic filtering of texts, where computational
    models are created for textual classification according to
    their contexts. Many studies have presented solutions based on
    Machine Learning techniques, but there is no comparison nor an
    analysis considering these methods. This work explores this scenario
    throughout implementing machine learning algorithms. In the
    solution, Natural Language Processing techniques are applied in
    order to select characteristics of the textual contents and introduce
    them into the classification pipeline. Experiments were conducted
    and the results obtained suggest that, machine learning algorithms
    have a good predictive performance values, with class-balanced
    accuracy of around 0.89 in the test data.

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O Computer on the Beach é um evento técnico-científico que visa reunir profissionais, pesquisadores e acadêmicos da área de Computação, a fim de discutir as tendências de pesquisa e mercado da computação em suas mais diversas áreas.

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