Efectos de la Negación, Modificadores, Jergas, Abreviaturas y Emoticonos en el Análisis de Sentimiento

Some problems present in the treatment of opinions are: the use of informal, ironic and sarcastic language, abbreviations, orthographic and typographic mistakes, semantic compositionality, the cultural level and knowledge of language. These problems impose greater difficulty on opinion mining than on text mining in general. Therefore, the aim of our research is to develop computational solutions to solve some of these problems, contributing to improve the processing of opinions and consequently to obtain more effective polarity detection. As a result of this research some resources were developed to manage jargons, emoticons, valence shifters and negations. These resources are applicable in any opinion mining system that requires them for mining opinions in Spanish or English. The experimental study from the application of the proposed resources showed values of accuracy and F1 higher than those obtained by calculating the polarity without incorporating those resources.