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Indonesia's Political Temperature Quantified via Local News Analysis

By PulseAugur Editorial · [1 sources] ·

A data scientist has developed a daily Geopolitical Risk (GPR) index for Indonesia by analyzing local news sources. This approach differs from existing GPR indexes, which rely on international English-language media and may not capture on-the-ground sentiment. The new index uses a pipeline involving Python for scraping, Prefect Cloud for orchestration, and dbt for data transformation to quantify political tension from Indonesian-language headlines. AI

IMPACT This methodology could be adapted to quantify political temperature in other regions, offering new insights for financial and geopolitical analysis.

RANK_REASON The cluster describes a novel methodology for creating a specific type of index (GPR) using data analysis and programming techniques, which falls under research. [lever_c_demoted from research: ic=1 ai=0.4]

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Indonesia's Political Temperature Quantified via Local News Analysis

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The cluster describes a novel methodology for creating a specific type of index (GPR) using data analysis and programming techniques, which falls under research. [lever_c_demoted from research: ic=…
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102 days old
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Billy Cemerson ·

    Can We Quantify Indonesia’s Political Temperature? I Built a Daily GPR Index to Find Out

    <h4><em>How scraping five news sources, a keyword model, Prefect Cloud, and GitHub Actions turned Indonesian newspaper headlines into a quantified daily risk signal</em></h4><h3>1. Introduction: Can You Measure Political Tension With Headlines?</h3><p>Geopolitical risk is somethi…

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