Prototipo de Herramienta de Software que Permite Realizar Minería de Opinión en Español Utilizando un Motor de Bases de Datos No Relacional

Abstract

This document describes the development and implementation of the Software tool that allows to perform sentiment analysis of facts or characters that are being trend in Twitter, through the application of Natural Language Processing, lexical resources and using the database system Non-relational document-oriented MongoDB. The tool was developed by applying the client-server architecture and using the programming language Python to perform the opinion analysis together with the Twitter API, where a set of Tweets is downloaded for each of the hashtags to which they are desired consult your favorability, a pre-processing is performed to fit the content of the Tweets and the processing that allows to obtain the value that represents the favorability of the analyzed Hashtag.