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(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 63
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 1150
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Environmental information classification model for the internet based on a linear text classifier@en
                    [1] => Modelo de clasificación de información medioambiental para internet basado en un clasificador de texto linear@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => Introduction: today, news websites share information on a daily basis. With the constant development of information technologies, the amount of data circulating on the network grows exponentially day-by-day. Objective: to build a model for classifying environmental information by classifying texts. Materials and methods: the proposal is based on an information classification model through the stochastic gradient descent classifier with the linear classification model Vector Support Machines, lemmatization was used to reduce the data that were used for training. Bag of Words was used to reduce the text dimension using empty words for Spanish and create the feature vector. Results and discussion: an information classification model was obtained with a performance of more than 90%. Conclusions: the created model and its performance were validated with three different measures: Accuracy, Measure F1 and the confusion matrix. The importance of equitably distributing the number of training documents belonging to each category was demonstrated.@en
                    [1] => Introducción: en la actualidad, los sitios web de noticias comparten información diariamente. Con el constante desarrollo de las tecnologías de la información, la cantidad de datos que circulan en la red crecen exponencialmente día a día. Objetivo: construir un modelo de clasificación de información medioambiental mediante la clasificación de textos. Materiales y métodos: la propuesta está basada en un modelo de clasificación de información a través del clasificador de descenso de gradiente estocástico con el modelo de clasificación linear Máquinas de Soporte Vectorial, se empleó la lematización para reducir los datos que se utilizaron para el entrenamiento. Se utilizó Bag of Words para reducir la dimensión de texto mediante las palabras vacías para el español y crear el vector de características. Resultados y discusión: se obtuvo un modelo de clasificación de información con un desempeño superior al 90%. Conclusiones: se validó el modelo creado y su rendimiento con tres diferentes medidas: Exactitud, Medida F1 y la matriz de confusión. Se demostró la importancia de distribuir equitativamente la cantidad de documentos de entrenamiento que pertenecen a cada categoría.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Liz Pérez Martínez
                    [1] => Diana Lenia Alfonso Pérez
                    [2] => Manuel Alejandro Naranjo Rey
                    [3] => Eduardo Javier Berrio Turiño
                    [4] => Dianelys Nogueira Rivera
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Modelo de clasificación@es
                    [1] => Clasificación de textos@es
                    [2] => Máquinas de soporte vectorial@es
                    [3] => Clasificador de noticias@es
                    [4] => Classification model@en
                    [5] => Text classification@en
                    [6] => Support vectorial machines@en
                    [7] => News classifier@en
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 52
                    [nr] => 3
                    [year] => 2021
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2024-08-02
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://cinfo.idict.cu/index.php/cinfo/article/view/495
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://cinfo.idict.cu/index.php/cinfo/article/view/495/374
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        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => stdClass Object
                        (
                            [@xml:lang] => es-ES
                            [#text] => https://creativecommons.org/licenses/by-nc-sa/4.0
                        )

                )

        )

)