Desarrollo de una herramienta para sugerir listas de actores y temas a ser usados en la fase de Targeting de Vigilancia Estratégica

Abstract

Strategic Scanning is an information process that helps companies get ahead of problems and opportunities in their socio-economic environment. Within this process, Targeting is the phase in which the perimeter is defined that will guide the collection of information for further analysis. To speed up the definition of the search perimeter, the use of lists of actors and topics related to a central theme has been proposed. This integrative project develops a web application that facilitates the automatic creation of these lists of actors and themes. Our application obtains information from scientific databases and digital media using Web Scrapping techniques. Then, Natural Language Processing methods oversee studying all the information obtained and finding the topics and actors, comparing them with dictionaries to know if the words make sense. To successfully accomplish this project, we used the SCRUM framework that organizes the time and development tasks efficiently. To evaluate the web application, tests were conducted based on the TAM methodology, where it was verified that users perceived this web application as useful and easy to use.