Abstract
Sentiment Analysis is the field of study that analyzes people's opinions in texts. In the last decade, humans have come to share their opinions in social media on the Web (e.g., Forum discussions and posts in social network sites). Opinions are important because whenever we need to take a decision, we want to know others' points of view. The interest of industry and academia in this field of study is partly due to its potential applications, such as: marketing, public relations and political campaign. Research in this field often considers English data, while data from other languages are less explored. In this work we evaluate the available resources to assist Portuguese language sentiment analysis. For doing this, we perform sentiment analysis in a data set of the accommodation sector. We compare different pos-taggers and sentiment lexicons. We also evaluate the impact of some linguistic rules regarding negation and the position of adjectives.