metadata

language: da
tags:
  - danish
  - bert
  - sentiment
  - polarity
license: cc-by-4.0
widget:
  - text: Sikke en dejlig dag det er i dag

Danish BERT fine-tuned for Sentiment Analysis

This model detects polarity ('positive', 'neutral', 'negative') of danish texts.

It is trained and tested on Tweets annotated by Alexandra Institute. The model is trained with the senda package.

Here is an example of how to load the model in PyTorch using the 🤗Transformers library:

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("pin/senda")
model = AutoModelForSequenceClassification.from_pretrained("pin/senda")

# create 'senda' sentiment analysis pipeline 
senda_pipeline = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)

text = "Sikke en dejlig dag det er i dag"
# 'what a lovely day'
senda_pipeline("Sikke en dejlig dag det er i dag")