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p.

No entities extracted for this document.

Topic Classifications

'bg-red-500', 'national security' => 'bg-orange-500', 'military operations' => 'bg-amber-600', 'surveillance' => 'bg-yellow-500', 'assassination' => 'bg-red-700', 'congressional legislation' => 'bg-blue-500', 'government oversight' => 'bg-indigo-500', 'civil rights' => 'bg-purple-500', 'foreign policy' => 'bg-teal-500', 'law enforcement' => 'bg-cyan-600', 'financial regulation' => 'bg-emerald-500', 'public health' => 'bg-green-500', 'human experimentation' => 'bg-rose-600', 'scientific research' => 'bg-violet-500', 'judicial proceedings' => 'bg-slate-500', ]; foreach ($topics as $topic => $score): if ($score < 0.1) continue; $pct = min(100, $score * 100); $barColor = $topicColors[$topic] ?? 'bg-gray-500'; ?>

%

Extracted Keywords

Forensic Analysis

Classification Stamps

'bg-red-100 text-red-800 border-red-200', 'SECRET' => 'bg-orange-100 text-orange-800 border-orange-200', 'CONFIDENTIAL' => 'bg-yellow-100 text-yellow-800 border-yellow-200', 'CLASSIFIED' => 'bg-amber-100 text-amber-800 border-amber-200', 'UNCLASSIFIED' => 'bg-green-100 text-green-800 border-green-200', 'DECLASSIFIED' => 'bg-emerald-100 text-emerald-800 border-emerald-200', 'EYES ONLY' => 'bg-red-100 text-red-800 border-red-200', 'NOFORN' => 'bg-rose-100 text-rose-800 border-rose-200', 'REDACTED' => 'bg-gray-800 text-white border-gray-900', ]; foreach ($stamps as $s): $color = $stampColors[$s['stamp']] ?? 'bg-gray-100 text-gray-700 border-gray-200'; ?> 1): ?> x

0): ?>

Redaction Detection

redacted region detected max % area

PDF Metadata

Sentiment

0.1) { $polLabel = 'Positive'; $polColor = 'text-green-700'; } elseif ($pol < -0.1) { $polLabel = 'Negative'; $polColor = 'text-red-700'; } else { $polLabel = 'Neutral'; $polColor = 'text-gray-600'; } ?>

Polarity

Subjectivity

%

0.5 ? 'Subjective' : 'Objective' ?>

No topic classifications available yet.

The ML pipeline may still be processing.

'bg-blue-50 text-blue-700', 'keyword' => 'bg-green-50 text-green-700', 'entity' => 'bg-purple-50 text-purple-700', 'collection' => 'bg-amber-50 text-amber-700', ]; foreach ($crisisEvents as $ce): $methods = $ce['match_methods'] ?? '[]'; if (is_string($methods)) $methods = json_decode($methods, true) ?: []; $details = $ce['details'] ?? '{}'; if (is_string($details)) $details = json_decode($details, true) ?: []; $score = (float)($ce['relevance_score'] ?? 0); $scorePercent = min(100, $score * 100); $startDate = $ce['start_date'] ?? ''; $endDate = $ce['end_date'] ?? ''; $dateStr = $startDate ? date('M j, Y', strtotime($startDate)) : ''; if ($endDate && $endDate !== $startDate) { $dateStr .= ' — ' . date('M j, Y', strtotime($endDate)); } ?>

%

Matched Keywords

No crisis correlations found for this document.

The ML pipeline may still be processing.