Qwen sentiment tracking
Sentiment on Qwen is classified in Chinese and is most informative on commercial prompts, where the model makes fairly direct recommendations rather than hedging.
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 Qwen for the sentiment field, sampled n times and returned as one object per prompt.
{
"engine": "qwen",
"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 →Qwen sentiment FAQ
- Is a mention in a recommendation list positive?
- Only partly. We separate polarity from placement so a third-place listing is not read as an endorsement.
- Which language is classification run in?
- Chinese, on the original text.
Get Qwen sentiment that understands commerce phrasing
Send a commercial prompt set and we will return polarity and recommendation strength separately.
Other Qwen data
Across every engine
Compare how sentiment behaves on every engine we track.
Sentiment across all engines →