Statistical analysis of the literature published on Peruvian fossils up to June 2020. The types of documents published, the languages in which they are published, the authors who publish on this subject, the nucleus of producers, the stratification and concentration of researchers, as well as the dissemination of published literature are analyzed. Univariate statistical measures were used to quantify the types of documents and the languages of publication. The zonal distribution proposed by Bradford's model was used to identify the core of authors, whereas the dissemination of published literature was measured with the Goffman model. There were 680 titles produced by 806 different authors from 1840 to June 2020. The published documents were disseminated as articles in scientific journals and lectures given at national or international congresses, as well as theses, books, book chapters, ...

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...

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...