Emotion Analysis Benchmark Results
20-emotion detection in text across 16 languages. Per-language Top-3 Hit Rate, latency, cost, and competitor comparison.
Note: Our metrics are from internal test suites. Competitor claims carry a per-vendor verification date and source in the table below; figures are self-reported by the respective vendors and re-verified at least every 90 days - comparisons older than that, or not yet verified, are marked under review rather than presented as current. We encourage you to run your own evaluation on your content.
92.8%
Avg Production Top-3
16
Languages
20
Indicators
-
Latency p95
Emotion Analysis Per-Language Top-3 Hit Rate
Representative languages shown. The complete 16-language matrix - including per-language sample counts and hit/miss detail - is available to customers and evaluators after sign-in.
| Language | Ranked Top-3 | Production Top-3 |
|---|---|---|
| ENbench-emo-2026-09-en | 88.9% | 93.7% |
| DEbench-emo-2026-09-de | 85.7% | 87.3% |
| FRbench-emo-2026-09-fr | 85.7% | 90.5% |
Ranked Top-3 reports raw ranking. Production Top-3 applies the detector confidence threshold and is the primary release metric. Metrics are generated reproducibly from version-controlled evaluation artifacts. See benchmark methodology.
These are hit rates over a labeled benchmark set, not alert precision on your traffic - the share of flags that are true positives depends on prevalence in your content. Translate your own measured rates into expected alerts and review workload with sentiqra-prevalence.py. The separate held-out decision-quality evaluation reports false-positive rates, abstention, and per-analyzer weak spots with uncertainty intervals - read it alongside this table.
Feature Comparison
| Feature | Emotions | Google Cloud Na... | OpenAI Sentimen... | AWS Comprehend... |
|---|---|---|---|---|
| Evidence verified | - | Under review | Under review | Under review |
| Type | Deterministic, versioned analysis | Under review | Under review | Under review |
| Languages | 16 | Under review | Under review | Under review |
| Indicators | 20 | Under review | Under review | Under review |
| Avg Production Top-3 | 92.8% | Under review | Under review | Under review |
| Latency p50 | - | Under review | Under review | Under review |
| Latency p95 | - | Under review | Under review | Under review |
| Cost / 1K calls | See pricing | Under review | Under review | Under review |
| Deterministic | Yes | Under review | Under review | Under review |
| Audit Trail | Yes (reproducible) | Under review | Under review | Under review |
| Per-Indicator Signal Score | Yes (signal-match strength) | Under review | Under review | Under review |
| Custom Taxonomy | Yes | Under review | Under review | Under review |
Competitor Analysis
Google Cloud Natural Language (Sentiment)
Under review — vendor claims pending re-verification
OpenAI Sentiment/Emotion (GPT)
Under review — vendor claims pending re-verification
AWS Comprehend (Sentiment)
Under review — vendor claims pending re-verification
All Benchmarks
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Benchmark Results
Per-language Top-3 Hit Rate
Benchmark Methodology
How we measure Top-3 Hit Rate
Full Comparison
Sentiqra vs all competitors
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