SENTIMENT ANALYSIS ON TWITTER BY USING MAXIMUM ENTROPY AND SUPPORT VECTOR MACHINE METHOD

SENTIMENT ANALYSIS ON TWITTER BY USING MAXIMUM ENTROPY AND SUPPORT VECTOR MACHINE METHOD

With the advancement of social media and its growth, there is a lot of data that can be presented for research in social mining. Twitter is a microblogging that can be used. In this event, a lot of companies used the data on Twitter to analyze the satisfaction of their customer about product quality...

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Bibliographic Details
Main Authors: Mona Cindo, Dian Palupi Rini, Ermatita Ermatita
Format: Article
Language:English
Published: Universitas Mercu Buana 2020-04-01
Series:Jurnal Ilmiah SINERGI
Subjects:
microblogging
twitter
support vector machine
maximum entropy
feature extraction
Online Access:http://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/5860

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