# Target-based sentiment analysis on TSA 2017

Source: [Target-based sentiment analysis on TSA 2017](<https://www.sota2.com/research/sota/target-based-sentiment-analysis-on-tsa-2017>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:59:55.462Z

Evaluation of Target-based Sentiment Analysis performance on the TSA 2017 dataset, measured by Root Mean Square Error (RMSE).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Target-based sentiment analysis |
| Dataset (including any stated split) | TSA 2017 |
| Metric | RMSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [RMSE](<https://www.sota2.com/research/sota/target-based-sentiment-analysis-on-tsa-2017.md?metric=RMSE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | RMSE | Result date | Report paper |
| --- | --- | --- | --- |
| FinBERT | 0.2054 | Not recorded | 68fa6f691e209131cea4569f |
| GPT-3 | 0.3128 | Not recorded | 68fa6f691e209131cea4569f |
| GPT-3 | 0.37 | Not recorded | 68fa6f691e209131cea4569f |

### FinBERT

RMSE: 0.2054. Result ID: 6990ad6e3a6c314849025f46.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f691e209131cea4569f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f691e209131cea4569f.md>)

[Implementation](<https://github.com/EdisonNi-hku/MTL4Finance>)

Recorded evaluation configuration: {"Evaluation Protocol":"Fine-Tune"}. This record does not assert independent reproduction.

### GPT-3

RMSE: 0.3128. Result ID: 6990ad6e3a6c314849025f45.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f691e209131cea4569f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa680c1e209131cea19d53.md>)

[Implementation](<https://github.com/openai/gpt-3/blob/master/overlap_frequency.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Few-Shot","Model version":"text-davinci-003"}. This record does not assert independent reproduction.

### GPT-3

RMSE: 0.37. Result ID: 6990ad6e3a6c314849025f44.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f691e209131cea4569f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa680c1e209131cea19d53.md>)

[Implementation](<https://github.com/openai/gpt-3/blob/master/overlap_frequency.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-Shot","Model version":"text-davinci-003"}. This record does not assert independent reproduction.

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