---
language:
- ja
---
This is a BERT Base model for emotion analysis in Japanese additionally fine-tuned for emotion detection and classification.

The model was based on [tohoku-nlp/bert-base-japanese](https://huggingface.co/tohoku-nlp/bert-base-japanese), and later finetuned on a dataset containing 10 labels of emotional blog posts.

The dataset was composed of about 1,000 sentences, with about 100 sentences each for each emotion category.

emotion_mapping = {
    0: 'amaze',
    1: 'anger',
    2: 'dislike',
    3: 'excite',
    4: 'fear',
    5: 'joy',
    6: 'like',
    7: 'relief',
    8: 'sad',
    9: 'shame'
}

emotion_mapping = {
    0: '驚き',
    1: '怒り',
    2: 'いや',
    3: '昂り',
    4: '怖がり',
    5: '喜び',
    6: '好き',
    7: '安らぎ',
    8: '悲しみ',
    9: '恥ずかしい'
}