Sentiment analysis reads words. EchoDepth reads the person.
Keyword-based sentiment tools have genuine value. But for high-stakes enterprise decisions — earnings calls, HR assessments, change communications — they systematically miss the signals that matter most.
Side-by-side comparison
| Feature | Sentiment Analysis | EchoDepth |
|---|---|---|
| What is measured | Words and phrases | 44 FACS Action Units + vocal + linguistic VAD |
| Input type | Text only | Video, audio, text, image |
| Arousal detection | No | Yes — activation level per frame |
| Cultural calibration | Single-model | 14 cultural cohorts |
| Output granularity | Positive / Negative / Neutral | V, A, D scores + Trust Score per second |
| Pre-behavioural signal | No | Yes — detects resistance before behaviour changes |
| FCA Consumer Duty evidence | No | Yes — timestamped vulnerability record |
Common questions
What does sentiment analysis miss that EchoDepth detects?
Sentiment analysis misses delivery quality, conviction signals, and all the signals present in non-verbal channels — vocal patterns, speech pace and hesitation. A customer in financial distress may use entirely neutral language while showing significant risk signals in voice and delivery.
When is sentiment analysis the right choice?
Sentiment analysis is the right choice when you have high-volume text data that needs rapid classification and the decision stakes are low. For social media monitoring, review classification and helpdesk triage, sentiment analysis performs well. For earnings call credibility, vulnerability detection, interview consistency and change management resistance — you need EchoDepth.
See the difference in your content.
Submit a recording or document. EchoDepth returns a full scored analysis within 5 working days — free.