Sentiment Analysis : Building and Testing Four Ensemble Classification Methods

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dc.contributor.advisorBrady, Alyce
dc.contributor.advisorRichey, MIchael
dc.contributor.authorHudson, Bo
dc.date.accessioned2016-05-21T16:17:33Z
dc.date.available2016-05-21T16:17:33Z
dc.date.issued2015
dc.descriptioniii, 28 p.en_US
dc.description.abstractThe goal of this project was to build a sentiment analysis classification based upon Machine Learning. The classification of Twitter tweets and Facebook comments allow for better marketing analysis while also saving an incredible amount of time. Four separate ensemble classification methods were tweaked and tested until the single best classification method we employed was found.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10920/30388
dc.language.isoen_USen_US
dc.relation.ispartofSenior Individualized Projects. Computer Science.
dc.relation.ispartofKalamazoo College Computer Science Senior Individualized Projects Collection
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written
dc.titleSentiment Analysis : Building and Testing Four Ensemble Classification Methodsen_US
dc.typeThesisen_US
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