Evaluación del sistema de clasificación automática de contenidos 'Resync' en medios de comunicación españoles y mexicanos = Evaluation of automatic classification system 'Resync' in mass media published contents in México and Spain

摘要

The objective of the research is to evaluate algorithms for automatic classification of content, originally designed for thematic categorization of content and news compiled with RESYNC platform. The evaluation process is conducted with forms specifically designed to determine the degree of relevance of content classified by the evaluators. Finally, it shows that the algorithm evaluated, has an accuracy of 71%. It was also determined that the highest ranked topics are those related to finance, law and politics.