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DC Field | Value | Language |
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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 |
Files in This Item:
File | Description | Size | Format | |
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PASIA, Alyssa Jane I.pdf | SP Document | 1.34 MB | Adobe PDF | ![]() View/Open |
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