Sentiment Analysis on Indonesia Twitter Data Using Naïve Bayes and K-Means Method
DOI:
https://doi.org/10.33633/jais.v6i1.4465Abstract
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%.References
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