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About 9analysis Sentiment of Twitter User On Indonesia's 2024 Presidential Election Using K-Means Algorithm
This article compares three classification algorithms (SVM, Naive Bayes, KNN) to determine the best method for analyzing sentiment in tweets about 2024 Indonesian presidential election candidates. The study finds that the SVM algorithm provides the most accurate sentiment classification of tweets, with an accuracy rate of 88%. The study recommends using SVM for Twitter sentiment analysis, especially in political and election contexts.
Detailed Information
Author: | ['yusrinnatuljinana'] |
---|---|
Publication Year: | 2023 |
Pages: | 9 |
Language: | English |
Format: | |
Price: | FREE |
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