Stock forecasting remains difficult because financial time series data are known to be noisy, volatile, and affected by market regimes. As the number of retail investors increases, providing accessible forecasting tools to support their decisions under volatile market conditions becomes an increasingly relevant challen...
Kenneth Raymond, Winar Sumargo, Stefanus Benhard et al.· International Conferences on...· 0 citations
Despite recent developments in natural language processing (NLP), emotion recognition continues to face substantial computing problems when applied to under-resourced regional languages like Javanese. A fundamental, unresolved challenge in the current study is defining the appropriate adaptation strategy, whether to pr...
Nikita Ananda Putri Masaling, Derwin Suhartono, Yulyani Arifin et al.· International Conferences on...· 0 citations
Detecting hate comment on Indonesian social media is challenging due to rapid digitalization and code-switching texts. Traditional machine learning and standard transformer models often struggle because they rely on word counts without understanding context, or entangle word meaning with positional context, often misca...
Karnelia Lengkong, Jovanna Jovanna, Stefanus Benhard et al.· International Conferences on...· 0 citations
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