Baidu ERNIE sentiment tracking
Baidu's AI answers are written in a compact encyclopaedic register, so sentiment is more neutral and more consistent than on the chat-style Chinese engines.
How it renders
Derived from source-language answer text with the evidence sentence retained.
Sampling
Classifications are reported as distributions across n, because the same engine will frame the same brand differently between samples.
Gotcha
What the API returns
A single collection call against Baidu ERNIE for the sentiment field, sampled n times and returned as one object per prompt.
{
"engine": "baidu_ernie",
"field": "sentiment",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"sentiment": [
{
"brand": "Nostimates",
"label": "recommended",
"confidence": 0.86,
"distribution": {
"recommended": 0.6,
"neutral": 0.33,
"hedged": 0.07
}
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| brand | string | Brand the classification applies to. |
| label | string | recommended | neutral | hedged | negative. |
| confidence | float | Classifier confidence for this sample. |
| evidence | string | The sentence the label was drawn from. |
| distribution | object | Label shares across the n samples. |
What it costs
Add-on field. Priced per collection at a small multiple of the base credit.
See credit pricing →Baidu ERNIE sentiment FAQ
- Why is Baidu sentiment so neutral?
- Its register is reference-like. Prominence carries more signal than polarity here.
- Do you score prominence?
- Yes, separately, so neutral-but-favoured is visible.
Read Baidu preference through prominence
Send a prompt set and we will return polarity and prominence together.
Other Baidu ERNIE data
Across every engine
Compare how sentiment behaves on every engine we track.
Sentiment across all engines →