Text mining with rapidminer

dc.contributor.authorDilek Tapucu
dc.contributor.authorGurdal Ertek
dc.contributor.authorInanc Arin
dc.date.accessioned2018-05-15T09:18:40Z
dc.date.accessioned2023-08-19T08:21:37Z
dc.date.available2018-05-15T09:18:40Z
dc.date.available2023-08-19T08:21:37Z
dc.date.issued2013
dc.descriptionErtek, G., Tapucu, D., & Arin, I. (2013). Text mining with rapidminer. RapidMiner: Data Mining Use Cases and Business Analytics Applications, 241.
dc.description.abstractThe goal of this chapter is to introduce the text mining capabilities of RAPIDMINER through a use case. The use case involves mining reviews for hotels at TripAdvisor.com, a popular web portal. We will be demonstrating basic text mining in RAPIDMINER using the text mining extension. We will present two different RAPIDMINER processes, namely Process01 andProcess02, which respectively describe how text mining can be combined with association mining and cluster modeling. While it is possible to construct each of these processes from scratch by inserting the appropriate operators into the process view, we will instead import these two processes readily from existing model files. Throughout the chapter, we will at times deliberately instruct the reader to take erroneous steps that result in undesired outcomes. We believe that this is a very realistic way of learning to use RAPIDMINER, since in practice, the modeling process frequently involves such steps that are later correcteden_US
dc.identifier.citationErtek, G., Tapucu, D., & Arin, I. (2013). Text mining with rapidminer. RapidMiner: Data mining use cases and business analytics applications, 241.em
dc.identifier.urihttps://edms.wexl.in/handle/1/1325
dc.language.isoen_USen_US
dc.publisherJohn & Willey Publicationen_US
dc.subjectData Mining, Text miningen_US
dc.subjectRAPIDMINER ,Web portalen_US
dc.titleText mining with rapidmineren_US
dc.typeBooken_US

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