Main Article Content
The people express their sentiments thought the Social Networks, and these sentiments can be measured to offer knowledge about tendencies and influences on Internet. In many scenarios, as in sport games, is important have the insight about what the people are thinking regarding a given player or product. This paper presents a metric based on phrase-level, in which is shown the importance of considering users´ characteristics, such as gender in sport scenario is shown. The calculation made from the word dictionary is adjusted by applying a correction factor based on the user´s profile characteristics. The results showed that considering the user's profile characteristics in the sentiment metric improves the sentiment analysis performance.
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