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All Journal JAIS (Journal of Applied Intelligent System)
Muhammad Atho’il Maula
Universitas Dian Nuswantoro Semarang

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Sentiment Analysis on Indonesia Twitter Data Using Naïve Bayes and K-Means Method Ajib Susanto; Muhammad Atho’il Maula; Ibnu Utomo Wahyu Mulyono; Md Kamruzzaman Sarker
Journal of Applied Intelligent System Vol 6, No 1 (2021): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v6i1.4465

Abstract

This study focuses on the analysis of sentiments on Indonesian twitter data. Twitter data on Indonesian simultaneous pilkada used to get its sentiments using Naïve Bayes Classifier method as a method of classification and K-means method to get Label on the data train process. Combining the two methods is expected to get high accuracy results. The results obtained from the research shows a pretty good accuracy of 74.5%.
Co-Authors Ajib Susanto Ibnu Utomo Wahyu Mulyono Md Kamruzzaman Sarker