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<!DOCTYPE html>
<html>
<head>
<title>Epstein Files: Entity Analysis</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- Social Preview / Open Graph -->
<meta property="og:title" content="Epstein Files: Entity Analysis">
<meta property="og:description" content="Interactive visualizations of 68,798 documents from the House Oversight Epstein Files. Explore entity networks, financial records, timeline events, and location data.">
<meta property="og:type" content="website">
<meta property="og:url" content="https://svetimfm.github.io/epstein-files-visualizations/">
<meta property="og:image" content="https://svetimfm.github.io/epstein-files-visualizations/og-preview.png">
<meta property="og:image:width" content="1200">
<meta property="og:image:height" content="630">
<!-- Twitter Card -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="Epstein Files: Entity Analysis">
<meta name="twitter:description" content="Interactive visualizations of 68,798 documents from House Oversight Epstein Files. NER extraction via Claude 3 Haiku.">
<meta name="twitter:image" content="https://svetimfm.github.io/epstein-files-visualizations/og-preview.png">
<style>
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.methodology {
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</style>
</head>
<body>
<h1>Epstein Files: Entity Analysis</h1>
<p class="subtitle">Comprehensive NER extraction from 68,798 document chunks</p>
<div class="stats">
<div class="stat">
<div class="stat-value">68,798</div>
<div class="stat-label">Documents Processed</div>
</div>
<div class="stat">
<div class="stat-value">10,004</div>
<div class="stat-label">Connections Found</div>
</div>
<div class="stat">
<div class="stat-value">16,169</div>
<div class="stat-label">Financial Records</div>
</div>
<div class="stat">
<div class="stat-value">24,712</div>
<div class="stat-label">Timeline Events</div>
</div>
</div>
<div class="cards">
<div class="card">
<h3>Entity Explorer</h3>
<p>Search and filter extracted entities. Browse persons, organizations, and locations with source citations. Note: entity counts include noise from NER extraction.</p>
<a href="entity_explorer.html">Explore Entities →</a>
</div>
<div class="card">
<h3>Entity Network</h3>
<p>Interactive force-directed graph showing relationships between top entities. Drag nodes, zoom, and search.</p>
<a href="network.html">View Network →</a>
</div>
<div class="card">
<h3>Event Timeline</h3>
<p>Chronologically sorted events (1990-2025) with participants and source documents. Dates parsed from multiple formats.</p>
<a href="timeline.html">View Timeline →</a>
</div>
<div class="card">
<h3>Financial Records</h3>
<p>Searchable table of 16,169 financial transactions with amounts, parties, and purposes.</p>
<a href="financial.html">View Financial →</a>
</div>
<div class="card">
<h3>Location Map</h3>
<p>Interactive world map showing geographic references in documents. Click markers to see source documents.</p>
<a href="map.html">View Map →</a>
</div>
<div class="card">
<h3>Embedding Clusters</h3>
<p>UMAP visualization of document embeddings showing semantic similarity clusters across all 69,290 documents.</p>
<a href="epstein_embedding_clusters.html">View Clusters →</a>
</div>
<div class="card">
<h3>Document Distribution</h3>
<p>Breakdown of document types and volumes across the corpus.</p>
<a href="epstein_doc_distribution.html">View Distribution →</a>
</div>
</div>
<div class="methodology">
<h2>Methodology</h2>
<p><strong>Source:</strong> House Oversight Committee Epstein Files Release (November 2025)</p>
<p><strong>Processing:</strong> LLM-based Named Entity Recognition using Claude 3 Haiku via AWS Bedrock</p>
<p><strong>Extraction:</strong> Structured extraction of persons, organizations, locations, dates, financial records, and relationships</p>
<p><strong>Deduplication:</strong> Fuzzy string matching with blocking optimization (85% similarity threshold)</p>
<p><strong>Victim Protection:</strong> Known victim names redacted from public outputs</p>
<p><a href="METHODOLOGY.md" style="color:#3498db;">Full methodology documentation →</a></p>
</div>
<footer>
<p>Generated November 2025 | NER: Claude 3 Haiku via AWS Bedrock</p>
<p><a href="https://github.com/SvetimFM/epstein-files-visualizations" style="color:#3498db;">GitHub Repository</a></p>
</footer>
</body>
</html>