Indonesian GDP movement detection using online news classification
Dinda Pusparahmi Sholawatunnisa,
Lya Hulliyyatus Suadaa,
Usep Nugraha
et al.
Abstract:Gross Domestic Product (GDP) stands as a pivotal indicator, offering strategic insights into economic dynamics. Recent technological advancements, particularly in real-time information dissemination through online economic news platforms, provide an accessible and alternative data source for analyzing GDP movements. This study employs online news classification to identify patterns in the movement and growth rate of Indonesia’s GDP. Utilizing a web scraping technique, we collected data for analysis. The classi… Show more
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