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Encyclopedia of Machine Learning and Data Mining
Opinion stream mining aims at learning and adaptation of a polarity model over a stream of opinionated documents, i.e., documents associated with a polarity. They comprise a valuable tool to analyze the huge amounts of opinions generated nowadays through the social media and the Web. In this chapter, we overview methods for polarity learning in a stream environment focusing especially on how these methods deal with the challenges imposed by the stream nature of the data, namely thedoi:10.1007/978-1-4899-7502-7_905-1 fatcat:d2fgtvgjzbhz7pkmt44amrfpmy