Sentiment Score
Definition
A sentiment value summarizes the attitude recognized by the model in a number or level.
A numerical or ordinal value with which a specific sentiment model expresses its assessment of a text.
Simply explained
A rating scale shows how positive or negative a text sounds for a specific evaluation model.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A model outputs for a comment 0.78 positive and 0.12 negative probability.
Limits and pitfalls
- Directly compare scores of different models or treat raw values as calibrated probabilities.
Origin & history
Sentiment values have become widespread with lexicon- and model-based sentiment methods.
Use in mid-sized companies
- Possible application: A model outputs for a comment 0.78 positive and 0.12 negative probability.
Frequently asked questions
What does sentiment value mean?
A numerical or ordinal value with which a specific sentiment model expresses its assessment of a text. What mistakes should be avoided? Directly comparing scores of different models or treating raw values as calibrated probabilities.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: