sentiments
The sentiment classifier analyzes text to identify and extract opinions. Analysis is at the sentence level. Positive, neutral, and negative sentiments are each rated from 0 - 1 (total value of all three scores is 1.)
Note: If advertisers want to target positive content, it's recommended that they look for neutral or positive scores, as most content scores in the neutral range.
| Syntax | "sentiments": [
{
"sentiment": "neu",
"score": <0-1>
},
{
"sentiment": "neg",
"score": <0-1>
},
{
"sentiment": "pos",
"score": <0-1>
}
]
|
| Example | "sentiments": [
{
"sentiment": "neu",
"score": 0.53
},
{
"sentiment": "neg",
"score": 0.41
},
{
"sentiment": "pos",
"score": 0.06
}
]
|
| Data Type | Array of objects |
| Required | Yes |
, multiple selections available,
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