Hanif, Nurfauzan (2025) Analisis Sentimen Berbasis Aspek Terhadap Diskursus Generasi Emas 2045 Di Media Sosial Menggunakan Latent Dirichlet Allocation Dan Bidirectional Encoder Representation Tranformers. Other thesis, Universitas Islam Riau.

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Abstract

This study examines aspect-based sentiment analysis of the discourse on Indonesia's Golden Generation 2045 vision on social media, utilizing Latent Dirichlet Allocation (LDA) and Bidirectional Encoder Representations from Transformers (BERT) methods. The objective is to identify the main topics and public sentiments towards the vision of Indonesia Golden 2045, projected to be realized by the 100th anniversary of Indonesia's independence. Using data from Twitter, this study analyzes various sentiments and topics that emerge in relation to this vision. The findings reveal significant sentiment variations from optimism to criticism. This analysis provides insights for stakeholders to understand public perceptions, which could assist in formulating more effective strategies to achieve these long-term goals.

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