README.md

metadata

language:
  - da
tags:
  - bert
  - pytorch
  - subjectivity
  - objectivity
license: cc-by-sa-4.0
datasets:
  - Twitter Sentiment
  - Europarl Sentiment
widget:
  - text: Jeg tror alligvel, det bliver godt
metrics:
  - f1

Danish BERT Tone for the detection of subjectivity/objectivity

The BERT Tone model detects whether a text (in Danish) is subjective or objective. The model is based on the finetuning of 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-subjective-objective")
tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-tone-subjective-objective")

Training data

The data used for training come from the Twitter Sentiment and EuroParl sentiment 2 datasets.