4. Afghanistan Cross-Category Report: Relational Analysis of Key Indicator Online Sentiment

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This report analyzes the strategic-level relationships between the volume of key indicator-related online content.Statistical connections, correlations, and causalities are measured & identified.

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This report analyzes the strategic-level relationships between the volume of key indicator-related online content.Statistical connections, correlations, and causalities are measured & identified.

  1. Society Related Online Content & Postings – Volume Cross-Correlation
  2. Political Related Online Content & Postings – Volume Cross-Correlation
  3. General Intelligence Related Online Content & Postings – Volume Cross-Correlation
  4. Intl. Relations Related Online Content & Postings – Volume Cross-Correlation
  5. Health Related Online Content & Postings – Volume Cross-Correlation
  6. Environment Related Online Content & Postings – Volume Cross-Correlation
  7. Economic Related Online Content & Postings – Volume Cross-Correlation
  8. Military/Defense Related Online Content & Postings – Volume Cross-Correlation

Understanding the relationship between the various SIGINT Categories is critical in monitoring a country’s stability. These connections represent both opportunities and potential threats for the country’s prosperity and national security. With this understanding, statistical correlation analysis of key country indicators has emerged as an important strategic priority for policymakers, analysts, and other professionals assisting with national strategic initiatives.

The framework and supporting analysis contained within this report present a structured method for understanding the strategic-level relationships between the 8 SIGINT Categories. The included comparative analyses are based on compiled volume data sets which are processed through the TalosAI algorithm to provide a percentage Correlation/Causality score.

These scores can be compared to better understand the Category relationships and potential effects of one category on another.

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