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Sentiment Analysis in Social Streams
In this chapter, we review and discuss the state of the art on sentiment
analysis in social streamsāsuch as web forums, microblogging systems, and social
networks, aiming to clarify how user opinions, affective states, and intended emo tional effects are extracted from user generated content, how they are modeled, and
howthey could be finally exploited.We explainwhy sentiment analysistasks aremore
difficult for social streams than for other textual sources, and entail going beyond
classic text-based opinion mining techniques. We show, for example, that social
streams may use vocabularies and expressions that exist outside the mainstream of
standard, formal languages, and may reflect complex dynamics in the opinions and
sentiments expressed by individuals and communities