Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPasia, Alyssa Jayne-
dc.description.abstractHuge amount of data are available on the internet. Due to this, there is an increasing interest in automatically obtaining valuable information from these data using Sentiment Analysis. A lot of methods and datasets are used to build models for classifying. This project aims to develop a system that lets the user decide on what datasets and preprocessing techniques are to be used on a Naive Bayes Classi er model.en_US
dc.subjectSentiment analysisen_US
dc.subjectOpinion miningen_US
dc.subjectText classificationen_US
dc.subjectNaive Bayes classificationen_US
dc.subjectBayes ruleen_US
dc.titleSentiment Analysis Using Customizable Naive Bayes Classifieren_US
Appears in Collections:Computer Science SP

Files in This Item:
File Description SizeFormat 
PASIA, Alyssa Jane I.pdfSP Document1.34 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.