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All Journal Journal of Technology and Computer (JOTECHCOM)
Br Tarigan , Yuni Franciska
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Computer Science & IT

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Sentiment Analysis On Police Brigadier Shooting Case Using K-Means Clustering Wahyuni , Masri; Rambe, Basyit Mubarroq; Br Tarigan , Yuni Franciska; Gultom , Karyawaty
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

As a medium that can be used to convey public criticism and aspirations in real time, Twitter is used as a data collection source using crawling techniques, to analyze public sentiment or response to the police brigadier shooting case. Latent dirichlet al-location (LDA) is used to determine the topics that appear in each of the collected tweets, and then used as a feature in grouping the contents of the tweets based on their respective sentiment values. The results of clustering using the k-means clustering algorithm obtained are: 11.9% of netizens gave a positive response, 18.9% of netizens gave a neutral response and 69.2% of netizens gave a negative response to the case. Thus, from the results of this study it can be concluded that netizens tend to give a negative response or reaction to the police brigadier shooting case, when viewed from the percentage of each type of response.
Co-Authors Gultom , Karyawaty Rambe, Basyit Mubarroq Wahyuni , Masri