| language: | |
| - ja | |
| library_name: transformers | |
| license: apache-2.0 | |
| metrics: | |
| - accuracy | |
| - f1 | |
| pipeline_tag: text-classification | |
| # BERT for Sentiment Analysis of Japanese Twitter | |
| This model was finetuned from [BERT for Japanese Twitter](https://huggingface.co./LoneWolfgang/bert-for-japanese-twitter). | |
| This model was finetuned on the Japanese Twitter Sentiment 1k, which includes 1000 examples with four sentiment labels: negative, neutral, positive, and mixed. | |
| [BERT for Japanese SNS Sentiment](https://huggingface.co./LoneWolfgang/bert-for-japanese-sns-sentiment) is reccomended over this model. |