Opinion Stream Mining
Encyclopedia of Machine Learning and Data Mining, Springer US, (2016)Zusammenfassung
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 the nonstationary data distribution and the single pass constraint.