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Entrepreneurship is a subject that according to literature has not beenstudied in technical institutions and institutions of education for work and humandevelopment. Because it has been done primarily in university institutions, pri-mary and secondary schools. Based on the above, this research carries out a trendanalysis and then analyzes the business intention given in the technical institutionsin Barranquilla, Colombia. For this, the study is administered an online instrumentto 738 students, considering the guide of the World Survey of University BusinessSpirits (GUESSS). The results obtained in the analysis indicate that the quali-fications of the attributes that characterize the business intention of students oftechnical institutions are very similar to the Colombian average for the programsof university institutions, although there is no structure of business support.

Competitiveness currently plays an important role because it provides an increase in productivity and creates competitive advantages that allow you to maintain and achieve a better position than you have against your competition. Now, the initiatives given in the cluster contribute significantly to the competitive development of the sectors and the companies that belong to it, giving them benefits from the relationships and interactions that are generated between them and the cluster itself. According to the literature reviewed, it was determined that the Atlantic dairy cluster has defined actions that tend to promote the strategy determined from the competitive routes methodology. However, the most appropriate actions to enhance the growth of the cluster in relation to competitiveness have not yet been evaluated. This is why this research aims to evaluate and select the best strategies that allow increasing the competitiveness of the dairy cluster in the department of Atlántico, through a simulation model with system dynamics; Because a cluster complies with the characteristics of a dynamic system because it is changing over time, and it is also a complex system due to the number of variables and actors that are related in a non-linear way, forming feedback between the variables, non-linearities , delays, among other conditions of dynamic complexity. For this, it is necessary to follow the modeling process proposed by Sterman step by step. La competitividad en la actualidad juega un papel importante porque, proporciona un aumento en la productividad y crea ventajas competitivas que permiten mantener y alcanzar una mejor posición que se tenga frente a la competencia. Ahora bien, las iniciativas dadas en el clúster aportan significativamente al desarrollo competitivo de los sectores y de las empresas que pertenecen a este, dándoles beneficios a partir de las relaciones e interacciones que se generen entre ellas y al propio clúster. De acuerdo con la literatura revisada, se pudo determinar que el clúster lácteo del Atlántico cuenta con acciones definidas que propenden a impulsar la estrategia determinada a partir de la metodología de rutas competitivas. No obstante, aún no se han evaluado las acciones más apropiadas que potencialicen el crecimiento del clúster en relación con la competitividad. Es por esto que, esta investigación tiene como objetivo evaluar y seleccionar las mejores estrategias que permitan incrementar la competitividad del clúster lácteo del departamento del Atlántico, a través de un modelo de simulación con dinámica de sistemas; debido a que, un clúster cumple con las características de un sistema dinámico porque es cambiante en el tiempo, y también es un sistema complejo por la cantidad de variables y actores que se relacionan de manera no lineal, formándose realimentaciones entre las variables, no linealidades, retardos, entre otras condiciones de complejidad dinámica. Para esto, se hace necesario seguir paso a paso el proceso de modelado propuesto por Sterman.

The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as sentiment analysis, detection of author profiles, identification of authors, opinions mining, plagiarism detection, calculation of similarity between texts and to develop robust systems that help to make decisions in related areas such as politics, education, economy, among others. This paper provides a lexical aid for the pre-processing of texts posted in social networks evolved for the subsequent languages: English, Spanish, Dutch and Italian.