<![CDATA[Social media platforms such as Reddit have long served as major discussion forums for various communities. This study aims to analyze public sentiment in order to understand community trends and perceptions toward Pokémon TCG. The research applies the RoBERTa (Robustly Optimized BERT Approach) Deep Learning architecture using the pre-trained model “cardiffnlp/twitter-roberta-base-sentiment” to perform sentiment analysis. The text data were cleaned, tokenized with a maximum limit of 512 tokens, and classified into positive, neutral, and negative sentiments, followed by word length distribution analysis and Top-N Words extraction. The model successfully classified sentiments objectively. The visualization results reveal the characteristics of word distribution after outlier handling and identify the top ten keywords representing the main discussion focus within each sentiment label. The findings indicate that the community sentiment is predominantly negative, providing a clear overview of the opinion dynamics within the Pokémon community on Reddit.]]>
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