Analisis Sentimen Fenomena “Brewek” Kartu Pokémon Pada Platform Reddit Menggunakan Arsitektur RoBERTa
DOI:
https://doi.org/10.58466/t3a91d20Kata Kunci:
Analisis Sentimen, Information Retrieval, RoBERTa, Reddit, Kartu PokémonAbstrak
Platform media sosial seperti Reddit sudah lama menjadi wadah utama diskusi berbagai komunitas. Penelitian ini bertujuan menganalisis sentimen publik untuk memahami tren dan persepsi komunitas terhadap Pokémon TCG. Penelitian ini menerapkan arsitektur Deep Learning RoBERTa (Robustly Optimized BERT Approach) melalui model Pre-Trained “cardiffnlp/twitter-roberta-base-sentiment” untuk melakukan analisis sentimen. Data teks dibersihkan, ditokenisasi dengan batas 512 token, dan diklasifikasikan ke dalam sentimen positif, netral, dan negatif, dilanjutkan dengan analisis distribusi panjang kata serta ekstraksi Top-N Words. Model berhasil mengklasifikasikan sentimen secara objektif. Hasil visualisasi menunjukkan karakteristik distribusi kata setelah penanganan outliers serta memetakan sepuluh kata kunci teratas yang merepresentasikan fokus pembahasan pada tiap label sentimen. Hasil penelitian ini menunjukkan bahwa sentimen yang terdapat dalam komunitas didominasikan oleh sentimen negatif, memberikan gambaran jelas mengenai dinamika opini komunitas Pokémon di Reddit.
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Hak Cipta (c) 2026 Siti Fatimah Az Zahrah, Klaudius Audie Irsansaputra, Muhammad Rizky Pribadi
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