Análisis de Flujos de Información de la Red Social Twitter Caso de Estudio: “Impacto de las Tendencias en Redes Sociales para las Operaciones del Mercado de Acciones de la Empresa ECOPETROL”

Abstract

The proliferation of social networks has generated new data sources with millions of data from users of worldwide, however these data are mainly characterized by two aspects: the first is that lack a well-defined structure, and the second is that being the personal opinions of netizens the level of reliability without a context is low. The generation of large volumes of data has led to the development of tools for processing them, with increasingly powerful machines and the use of techniques of analysis and information extraction. TIC has become a cross-sectional area for the development of any sector because the implementation of technological tools greatly influences for success or failure of an organization; therefore the waste of the information in the data streams of a social network can impact the development of a special sector by not having objective reports of market trends in alternative sources of information. The development of this project focuses on the construction of a data model to perform the classification of tweets that allow to identify the tendencies of opinion in the social red Twitter against the behavior of the actions of an organization.