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sentiment-analysis-fh-kiel
wuesten/sentiment-analysis-fh-kiel
sentiment-analysis-fh-kiel is a text classification model from wuesten. Use it when you need a label for a piece of text. It is set up for transformers.
For an university project at the University of Applied Sciences Kiel, we conducted a sentiment analysis with the aim of classifying restaurant ratings. The model of "nlptown/bert-base-multilingual-uncased-sentiment" w…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 30, 2022
- Updated
- May 30, 2022
- SHA
- 3532cd2a
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Model card
From the Hugging Face model README
Sentiment Analysis
For an university project at the University of Applied Sciences Kiel, we conducted a sentiment analysis with the aim of classifying restaurant ratings. The model of "nlptown/bert-base-multilingual-uncased-sentiment" was used as a pre-trained transformer. As a starting value, an accuracy of 63% was already achieved. Based on this, the transformer was fine-tuned to yelp ratings from Hamburg. After that, an accuracy of 82% was achieved.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 30, 2022
- Updated
- May 30, 2022