The advent of the real-time web is proving both challeng-uding and at the same time disruptive for a number of areas of research,udnotably information retrieval and web data mining. As an area of research reaching maturity, sentiment analysis oers a promising direction for modelling the text content available in real-time streams. This paper reviews the real-time web as a new area of focus for sentiment analysisudand discusses the motivations and challenges behind such a direction.
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