Sentiment Classification

This classifier displays the sentiment extracted from the given text. The output would be one of these labels:

Neutral
Positive
Negative

Statistics

Type	Speed	Partner Type
Post-Process Classifier	On Request	Datastreamer Internal

Compatible Data Sources

As a Post-Processing operation, it can be run on any data source.

📘
Recipe Available
View the below recipe to see it in action, and easily view how to integrate it into your own data pipeline.

🎛️

Using Post-Processing Operations

Open Recipe

Usage

This Operation allows a user to specify the destination field, source fields, and any separator.

{
    "query": {
		...
},
    "operations": [
        {
            "name": "sentiment",
            "destination_path": "operations.sentiment",
            "parameters": {
                "language": "enrichment.language",
                "body": "content.body"
            }
        }
    ]
}




## Output

The classifier adds an additional metadata section within the "Enrichment" section, along with the predicted confidence level:

Here is the sample JSON output retrieved against the above request body.

"enrichment":  
    {  
      "sentiment": {  
        "label": "True",  
        "confidence": 0.95  
                   },  
    }