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--- |
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language: de |
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tags: |
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- bert |
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license: apache-2.0 |
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widget: |
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- text: "Das Frühstück ist sehr gut, es gibt auch Laktosefreie Produkte." |
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example_title: "Example 1" |
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- text: "Das Personal ist sehr kompetent und sehr freundlich." |
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example_title: "Example 2" |
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- text: "Die Zimmer sind wie beschrieben sehr klein, vergleichbar mit einer Kreuzfahrtschiffkabine. " |
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example_title: "Example 3" |
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- text: "Scheinwerfer vor dem Zimmer ganze Nacht an und zu hell" |
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example_title: "Example 4" |
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--- |
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# German Hotel Review Sentiment Classification |
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A model trained on German Hotel Reviews from Switzerland. The base model is the [bert-base-german-cased](https://huggingface.co/bert-base-german-cased). The last hidden layer of the base model was extracted and a classification layer was added. The entire model was then trained for 5 epochs on our dataset. |
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# Model Performance |
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| Classes | Precision | Recall | F1 Score | |
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| :--- | :---: | :---: |:---: | |
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| Room | 84.62% | 88.00% | 86.27% | |
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| Food | 79.17% | 82.61% | 80.85% | |
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| Staff | 63.64% | 70.00% | 66.67% | |
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| Location | 83.33% | 62.50% | 71.43% | |
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| GeneralUtilitys | 76.92% | 76.92% | 76.92% | |
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| HotelOrganisation | 26.67% | 30.77% | 28.57% | |
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| Unknown | 25.00% | 16.67% | 20.00% | |
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| ReasonForStay | 100.00% | 50.00% | 66.67% | |
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| Accuracy | | | 69.00% | |
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| Macro Average | 67.42% | 59.68% | 62.17% | |
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| Weighted Average | 69.36% | 69.00% | 68.79% | |
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## Confusion Matrix |
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