Named-Entity Recognition Detector And Academic News Classification

A research is presented to classify the academic news according to 12 academic entities, which represent the programs of 4 faculties: Engineering, Arts and Humanities, Agricultural and Environmental Sciences, Administrative and Economic Sciences. And 12 academic/administrative entities. The purpose is that the news and documents published in the news archive are stored and classified according to the academic entity, which are evaluated by the peer reviewers of the Ministry of Education at the time of requesting relevant information and that has been socialized by each unit. A supervised classification is performed and the results show that the recognition of academic entities allows an adequate classification of all the news by department; however, the news of the academic/administrative processes are not completely classified because it does not identify the corresponding entity, but taking into account that the information requested is of the entities that are only academic, the objective set with the classification is achieved.