metadata
language:
- da
tags:
- bert
- pytorch
- sentiment
- polarity
license: CC-BY_4.0
datasets:
- Twitter Sentiment
- Europarl Sentiment
metrics:
- f1
widget:
- text: Det er super godt
Danish BERT Tone for sentiment polarity detection
The BERT Tone model detects sentiment polarity (positive, neutral or negative) in Danish texts. It has been finetuned on the pretrained Danish BERT model by BotXO.
See the DaNLP documentation for more details.
Here is how to use the model:
from transformers import BertTokenizer, BertForSequenceClassification
model = BertForSequenceClassification.from_pretrained("DaNLP/da-bert-tone-sentiment-polarity")
tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-tone-sentiment-polarity")
Training data
The data used for training come from the Twitter Sentiment and EuroParl sentiment 2 datasets.