google-research-datasets/go_emotions - Hugging Face
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral. The raw data is included as well as the smaller, simplified version of the …
GoEmotions: A Dataset for Fine-Grained Emotion Classification
2021年10月28日 · While GoEmotions offers a large set of human-annotated emotion data, additional emotion datasets exist that use heuristics for automatic weak-labeling. The …
人的情绪岂止6种？Google发布大规模数据集GoEmotions，情感类 …
Google 最近就带来了一个全新的情绪数据集GoEmotion，包含了58000个人工标注的 Reddit 评论，并且将情绪分为28个类别。 作为迄今为止标注最详细的英语情感数据集，Google从心理学 …
GoEmotions: A Dataset of Fine-Grained Emotions - Google Research
We introduce GoEmotions, the largest manually annotated dataset of 58k English Reddit comments, labeled for 27 emotion categories or Neutral. We demonstrate the high quality of …
google-research/goemotions/README.md at master - GitHub
GoEmotions is a corpus of 58k carefully curated comments extracted from Reddit, with human annotations to 27 emotion categories or Neutral. Number of examples: 58,009. Number of …
GoEmotions Dataset - Papers With Code
GoEmotions is a corpus of 58k carefully curated comments extracted from Reddit, with human annotations to 27 emotion categories or Neutral. Number of examples: 58,009. Number of …
GoEmotions：一个细粒度情感分类数据集 - AI大道理 - 博客园
2021年11月18日 · 在“GoEmotions: A Dataset of Fine-Grained Emotions”文章中，我们描述了GoEmotions，这是一个人类注释的数据集，包含58k条Reddit评论，从流行的英语Reddit子页 …
README.md · mrm8488/goemotions at main - Hugging Face
We released a detailed tutorial for training a neural emotion prediction model. In it, we work through training a model architecture available on TensorFlow Model Garden using …
bert-multilingual-go-emtions - 多语言情感分类模型，支持高效识 …
该BERT模型经过微调，可在GoEmotions数据集上进行中英跨语言情感分类，支持28种情感类别，如喜悦、愤怒、爱等。 模型在验证集上表现出85.95%的高准确率，训练过程结合了英语和 …
google-research-datasets/go_emotions|情绪分析数据集|文本分类 …
GoEmotions 数据集包含 58k 条精心筛选的 Reddit 评论，标记了 27 种情感类别或中性情感。 数据集包括原始数据和简化的版本，后者包含预定义的训练/验证/测试集。 该数据集适用于多类别 …