Feature Extraction Optimization to Improve Naïve Bayes Accuracy in Sentiment Analysis of Bulukumba Tourism Objects

This research employs social media (Twitter) to apply sentiment analysis ascertain the degree of public satisfaction with the Bulukumba tourist attraction. Unstructured text data is a major challenge in sentiment analysis. For this reason, implementing the Naïve Bayes algorithm is an effective appro...

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Bibliographic Details

Published in:	Sistemasi: Jurnal Sistem Informasi
Main Authors:	Darmawan Setiawan, Najirah Umar, M. Adnan Nur
Format:	Article
Language:	Indonesian
Published:	Islamic University of Indragiri 2024-09-01
Online Access:	https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4580