# Polarization Analysis on SemEval Task 9 hau 2026 (test)

Source: [Polarization Analysis on SemEval Task 9 hau 2026 (test)](<https://www.sota2.com/research/sota/polarization-analysis-on-semeval-task-9-hau-2026-test>)

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

Data updated: 2026-04-24T06:28:33.095Z

Evaluation of Polarization Analysis performance on the Hausa language test split of the SemEval Task 9 2026 dataset, measured using Accuracy, Binary F1, and Macro F1 scores.

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 | Polarization Analysis |
| Dataset (including any stated split) | SemEval Task 9 hau 2026 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 1 of 1 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/polarization-analysis-on-semeval-task-9-hau-2026-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Binary F1 Score](<https://www.sota2.com/research/sota/polarization-analysis-on-semeval-task-9-hau-2026-test.md?metric=Binary%20F1%20Score>): Higher is better; unit: PERCENT.

- [Macro F1 Score](<https://www.sota2.com/research/sota/polarization-analysis-on-semeval-task-9-hau-2026-test.md?metric=Macro%20F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| language-adaptive modeling framework | 93.1 | Not recorded | 69eaf92b55a3c32af89f89fb |

### language-adaptive modeling framework

Accuracy: 93.1. Result ID: 69eb0c9c47f34ce924d29c44.

[Reporting paper](<https://www.sota2.com/research/paper/69eaf92b55a3c32af89f89fb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69eaf92b55a3c32af89f89fb.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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