Sentiment Analysis Demo

With Sherpa.ai’s Content Analysis API, you can determine the sentiment load of a paragraph or text. This AI model combines NLP and ML techniques to assign weighted sentiment scores to a text item. This way, a text item can be characterized by its overall all emotional load:

Polarity

A text sentiment metric that is based on a combination of the following two metrics:

  • Valence: The emotional value, how enjoyable a stimulus is; ranges from pleasant / happy (+1) to unpleasant / unhappy (-1)
  • Arousal: the psychological state of being awoken. It ranges from calm (-1) to excited (+1).

Try the API for Yourself with Our Demo

  1. Enter text in the box
  2. Click “Analyze”
  3. Evaluate the total scores and the scores for each sentence

Valid for English and Spanish text

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