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:
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).
- Enter text in the box
- Click “Analyze”
- Evaluate the total scores and the scores for each sentence
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