Um framework para reconhecimento de opinião utilizando Sistema de Informação Geográfica (SIG): um estudo de caso na geração de mapas

Abstract

With the globalization of the Internet, the number of users using the means of social communication it is each time bigger. The social network Twitter is a good example. Twitter is often used to post comments on all kinds of subjects, such as artists, products, public health, among others. The spread of information in these media is very important because it can reach people from social class, anytime and anywhere in the world. Twitter supports geo-referenced comments. This feature allows georeferenced tweets. One can use the comments obtained from Twitter to evaluate how the reality of social network reflects the real world. In this sense, the present work proposes a generic Framework that besides evaluating concepts related to the opinion mining, describes the accomplishment of case studies, which analyze sources of textual opinions and proposes to mine opinions at the level of aspect, using as sources of opinion Twitter comments. A prototype extends and implements the proposed Framework to enable the process of opinion mining in social networks. The results show the feasibility of using this Framework to support decision making by its users.