# Emotion Classification on Twitter Emotion

Source: [Emotion Classification on Twitter Emotion](<https://www.sota2.com/research/sota/emotion-classification-on-twitter-emotion>)

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

Data updated: 2026-02-26T05:29:05.310Z

Evaluation of Emotion Classification performance on the Twitter Emotion dataset, reporting 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 | Emotion Classification |
| Dataset (including any stated split) | Twitter Emotion |
| 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/emotion-classification-on-twitter-emotion.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ColD-Fusion | 82.76 | Not recorded | 68fa708c1e209131cea4baef |
| Finetune | 81.52 | Not recorded | 68fa708c1e209131cea4baef |
| Multitask | 81.25 | Not recorded | 68fa708c1e209131cea4baef |
| MUPPET | 51.11 | Not recorded | 68fa708c1e209131cea4baef |

### ColD-Fusion

Accuracy: 82.76. Result ID: 6991348f3a6c314849067883.

[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.

### Finetune

Accuracy: 81.52. Result ID: 6991348f3a6c314849067880.

[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.

### Multitask

Accuracy: 81.25. Result ID: 6991348f3a6c314849067881.

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

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

### MUPPET

Accuracy: 51.11. Result ID: 6991348f3a6c314849067882.

[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.

Page 1 of 1. This is an index page, not the full collection.