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 | No |
| Page Element Analyzed | Text |
| Used For | Targeting/anti-targeting |
| More Information | /wiki/spaces/VDOC/pages/920781072 |