Análisis del fenómeno El Niño Costero por el método de las palabras asociadas

Abstract

This study analyzes the news published in the newspapers La República and El Peruano in Lima-Peru, during the months of February to May 2017 about the phenomenon El Niño Costero in an attempt to understand the context and orientation of the news. The words within the text body were analyzed as they appeared in each of the retrieved documents. The textual words were “read” with the help of the free software TextStat 3.0 and the construction of the keywords of the newspapers articles was done with the software Linguakit. The selected keywords were standardized and transferred to R a programming language tool focused on statistical analysis with the algorithm of the MPA package

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