%0 Book Section %1 spiliopoulou2016opinion %A Spiliopoulou, Myra %A Ntoutsi, Eirini %A Zimmerman, Max %B Encyclopedia of Machine Learning and Data Mining %D 2016 %E Sammut, Claude %E Webb, Geoffrey I. %I Springer US %K 2016 myown opinionatedstreams sentimentanalysis streammining %P 1-10 %T Opinion Stream Mining %X 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.

@incollection{spiliopoulou2016opinion, abstract = {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. }, added-at = {2016-12-30T14:54:22.000+0100}, author = {Spiliopoulou, Myra and Ntoutsi, Eirini and Zimmerman, Max}, biburl = {https://www.bibsonomy.org/bibtex/282899c6384585becf042344a9a91691c/entoutsi}, booktitle = {Encyclopedia of Machine Learning and Data Mining}, editor = {Sammut, Claude and Webb, Geoffrey I.}, interhash = {920ca641b0aa59b34bfe881977f64fd4}, intrahash = {82899c6384585becf042344a9a91691c}, keywords = {2016 myown opinionatedstreams sentimentanalysis streammining}, pages = {1-10}, publisher = {Springer US}, timestamp = {2016-12-30T21:34:35.000+0100}, title = {Opinion Stream Mining}, year = 2016 }