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: | , , |
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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 |