It analyzes the editorials of the Peruvian newspaper La República published from May 5 to June 6, 2021, dates in which the political campaigns for the second round of elections for the presidency of Peru took place. The aim is to discover relevant information to understand the use of the terminologies communicated through the written language in that newspaper. Using the text mining technique and machine learning algorithms for the analysis of unstructured data, a dendrogram and clusters were created to validate and estimate the groupings of the most frequent terms. In relation to each candidate, the regression analysis shows a differentiated association in the use of words. These words form a network that expresses the political conjuncture of the period under study and is reinforced by the construction of a cloud of words with the highest frequency of use. It is concluded that the med...

El plagio es considerado como un acto de deshonestidad académica. Esta práctica se realiza desde hace varios años. Sin embargo, con la aparición de las tecnologías de la información y comunicación se ha observado su incremento, a pesar de que existen sanciones para quienes lo practican. En la actualidad, las instituciones educativas promueven la aplicación de las diversas normas o estilos en la redacción académica con la finalidad de evitar el plagio. En este contexto, la presente investigación tuvo como objetivo determinar si existe una relación entre el conocimiento sobre citas y referencias bibliográficas, y el plagio académico en estudiantes de la maestría de educación de la modalidad semipresencial de la Universidad San Martín de Porres (USMP). Para ello, se realizó una investigación básica con un enfoque cuantitativo bajo un diseño no experimental de nivel desc...

It analyzes the editorials of the Peruvian newspaper La República published from May 5 to June 6, 2021, dates in which the political campaigns for the second round of elections for the presidency of Peru took place. The aim is to discover relevant information to understand the use of the terminologies communicated through the written language in that newspaper. Using the text mining technique and machine learning algorithms for the analysis of unstructured data, a dendrogram and clusters were created to validate and estimate the groupings of the most frequent terms. In relation to each candidate, the regression analysis shows a differentiated association in the use of words. These words form a network that expresses the political conjuncture of the period under study and is reinforced by the construction of a cloud of words with the highest frequency of use. It is concluded that the med...