> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/additional-metrics/evaluation/sentiment-analysis.md).

# Sentiment Analysis

**Objective**: The test provides a sentiment score for the model response

**Required Parameters**: Response

**Interpretation**: Higher score indicates the model response was positive, the test can be used to put a guard on negative sentiment responses from the model

* \*\* Example with higher score\*\*:
  * Response: "The movie was good"
* \*\* Example with lower score\*\*:
  * Response: "The movie was so bad that I have decided not to watch any further movies"

```python
# Add tests with custom data
evaluator.add_test(
    test_names=["sentiment_analysis_test"],
    data={
        "response" : "The movie was good"
    },
    arguments={"model": "gpt-4", "threshold": 0},
).run()

evaluator.print_results()
```


---

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