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...
Main Authors: | Mona Cindo, Dian Palupi Rini, Ermatita Ermatita |
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Format: | Article |
Language: | English |
Published: |
Universitas Mercu Buana
2020-04-01
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Series: | Jurnal Ilmiah SINERGI |
Subjects: | |
Online Access: | http://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/5860 |
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