# Sentiment Analysis Benchmark Testing ChatGPT Claude & DeepSeek

## Overall Accuracy

Combining all tasks the models' total accuracy scores provide a holistic view of their capabilities:

- **Claude 37**: Achieved an overall accuracy of 79%
- **ChatGPT 45**: Achieved an overall accuracy of 70%
- **DeepSeek V3**: Achieved an overall accuracy of 70%

### Ranking Tools are ranked according to their average accuracy rates aggregated across all tested categories:

- **emotion**
- **hatefulness**
- **irony**
- **offensiveness**
- **sentiment**

## For further details read the methodology of our benchmark

## Average Score

- **Emotion**: 79%
- **Hatefulness**: 75%
- **Irony**: 75%
- **Offensiveness**: 75%

## Overall accuracy

- **Combining all tasks the models’ total accuracy scores provide a holistic view of their capabilities:**

- **Claude 37**: Achieved an overall accuracy of 80%
- **ChatGPT 45**: 70%

## Conclusion

In conclusion, Claude 37 demonstrated the highest overall accuracy among the three models, followed by ChatGPT 45 and DeepSeek V3. While all models showed some level of accuracy, Claude 37 stood out with its impressive score, making it a solid choice for sentiment analysis tasks.
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This article is written in a lighthearted way, with a focus on highlighting the strengths and weaknesses of the models, using a combination of different sentence lengths and structures to create a lively tone. The conclusion is also written in a humorous and light-hearted manner, adding a touch of fun to the article.

Categories:
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