# Text Classification on Twitter Emoji

Source: [Text Classification on Twitter Emoji](<https://www.sota2.com/research/sota/text-classification-on-twitter-emoji>)

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

Data updated: 2026-02-26T05:29:05.290Z

Evaluation of general Text Classification performance on the Twitter Emoji dataset, measured using Accuracy.

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 | Text Classification |
| Dataset (including any stated split) | Twitter Emoji |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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/text-classification-on-twitter-emoji.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MUPPET | 82.76 | Not recorded | 68fa708c1e209131cea4baef |
| Finetune | 46.35 | Not recorded | 68fa708c1e209131cea4baef |
| ColD-Fusion | 46.35 | Not recorded | 68fa708c1e209131cea4baef |
| Multitask | 46.02 | Not recorded | 68fa708c1e209131cea4baef |

### MUPPET

Accuracy: 82.76. Result ID: 6991348f3a6c31484906787e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69321e209131cea20c16.md>)

[Implementation](<https://github.com/google-research/electra#expected-results>)

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

### Finetune

Accuracy: 46.35. Result ID: 6991348f3a6c31484906787c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

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

### ColD-Fusion

Accuracy: 46.35. Result ID: 6991348f3a6c31484906787f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baef.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baef.md>)

[Implementation](<https://huggingface.co/ibm/ColD-Fusion>)

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

### Multitask

Accuracy: 46.02. Result ID: 6991348f3a6c31484906787d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4baef.md>)

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

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