Sentiment Analysis Using Customizable Naive Bayes Classifier

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DC Field	Value	Language
dc.contributor.author	Pasia, Alyssa Jayne	-
dc.date.accessioned	2019-08-17T11:04:37Z	-
dc.date.available	2019-08-17T11:04:37Z	-
dc.date.issued	2018-05	-
dc.identifier.uri	http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/459	-
dc.description.abstract	Huge 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.language.iso	en	en_US
dc.subject	Sentiment analysis	en_US
dc.subject	Opinion mining	en_US
dc.subject	Text classification	en_US
dc.subject	Naive Bayes classification	en_US
dc.subject	Bayes rule	en_US
dc.title	Sentiment Analysis Using Customizable Naive Bayes Classifier	en_US
dc.type	Thesis	en_US
Appears in Collections:	Computer Science SP

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PASIA, Alyssa Jane I.pdf	SP Document	1.34 MB	Adobe PDF	View/Open

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