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da_bert_sentiment_analysis
gundruke/da_bert_sentiment_analysis
da_bert_sentiment_analysis is a text classification model from gundruke. Use it when you need a label for a piece of text. It is set up for transformers.
- Dataset : DDSC/angry-tweets - Base model : Danish bert botxo
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1.3 GB on disk
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.safetensors443 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Dec 12, 2023
- SHA
- 3d74eade
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Model card
From the Hugging Face model README
Danish Sentiment Analysis
Information
- Dataset : DDSC/angry-tweets
- Base model : Danish bert botxo
Approach
-
Preprocessing
- Links and Usernames are replaced with @USER and [LINK], removing those keyholders
- Removing hashtags as they generally donot contribute to sentiment
- Removing emoji as models used in this notebook donot take emojis into consideration (replacing with their meaning could also be tested)
- lowercase
- Stopwords removal, danish stopwords from NLTK
-
Training with HF trainer
-
Training with pytorch loop
-
Uploading model to Huggingface hub
-
FastAPI endpoint
-
Packaged the api service as a docker container
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 12, 2023
- Updated
- Dec 12, 2023