Studi Komparatif Metode Ekstraksi Fitur pada Analisis Sentimen Maskapai Penerbangan Menggunakan Support Vector Machine dan Maximum Entropy

Studi Komparatif Metode Ekstraksi Fitur pada Analisis Sentimen Maskapai Penerbangan Menggunakan Support Vector Machine dan Maximum Entropy

Almost all companies use social media to improve their product services and provide after-sales services that allow their customers to review the quality of their products. By using Twitter social media to be an important source for tracking sentiment analysis. Sentiment analysis is one of the most...

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Bibliographic Details
Main Authors: Mona Cindo, Dian Palupi Rini, Ermatita
Format: Article
Language:Indonesian
Published: Ikatan Ahli Indormatika Indonesia 2019-12-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
sentiment analysis, twitter, airline, feature extraction, support vector machine, maximum entropy
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/1159

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/1159

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