Aspect-Based Sentiment Analysis for Enhanced Understanding of 'Kemenkeu' Tweets

Aspect-Based Sentiment Analysis for Enhanced Understanding of 'Kemenkeu' Tweets

The perceptions and expressions shared by the public on social media play a crucial role in shaping the reputation of government institutions, such as the Ministry of Finance MOF (Kemenkeu) in Indonesia which also has faced increased scrutiny, particularly on Twitter. This study analyzes public sent...

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Bibliographic Details
Main Authors: Priska Trisna Sejati, Farrikh Alzami, Aris Marjuni, Heni Indrayani, Ika Dewi Puspitarini
Format: Article
Language:English
Published: Politeknik Negeri Batam 2024-11-01
Series:Journal of Applied Informatics and Computing
Subjects:
aspect based sentiment analysis
latent dirichlet allocation
indobert
kementerian keuangan
twitter
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8558
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