This component leverages advanced Natural Language Processing (NLP) to analyze your text and identify the most relevant keywords, phrases, and significant terms. It goes beyond simple frequency counting to understand contextual importance, providing you with a curated list of key concepts along with their importance scores. This is ideal for content tagging, SEO optimization, trend analysis, and summarizing large volumes of text.

Component Configuration

Users must specify the Target Text field, which is the JSON path to the property from the incoming document, containing the text to be analyzed (e.g., content.body).

When the Social Voice API returns the response, the response is attached to the original document in a social_voice property.

Example

The final document structure would look like:

{
  // Original document content...
  "social_voice": {
    "keywords": {
      "keywords": [
        "phone",
        "year",
        "phones",
        "Pro",
        "good",
        "Pixel",
        "battery",
        "big phone",
        "small phone",
        "Pro Fold"
      ],
      "status": "ok"
    },
    "request_id": "3c5942cf-faf4-4d84-9c5b-0b388e707643"
  }
}