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--- |
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language: eng |
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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: "The hotel is very nicely located" |
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example_title: "Example 1" |
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- text: "The reception staff were extremely helpful and very welcoming" |
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example_title: "Example 2" |
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- text: "There is no balcony in the rooms on the mountain side" |
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example_title: "Example 3" |
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- text: "A bit pricey" |
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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 English Hotel Reviews from Switzerland. The base model is the [bert-base-uncased](https://huggingface.co/bert-base-uncased). 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 | 77.78% | 77.78% | 77.78% | |
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| Location | 95.45% | 95.45% | 95.45% | |
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| Staff | 75.00% | 93.75% | 83.33% | |
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| Unknown | 71.43% | 50.00% | 58.82% | |
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| HotelOrganisation | 27.27% | 30.00% | 28.57% | |
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| Food | 87.50% | 87.50% | 87.50% | |
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| ReasonForStay | 63.64% | 58.33% | 60.87%| |
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| GeneralUtility | 66.67% | 50.00% | 66.67% | |
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| Accuracy | | | 74.00% | |
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| Macro Average | 70.59%| 67.85% | 68.68% | |
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| Weighted Average | 74.17% | 74.00% | 73.66% | |
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## Confusion Matrix |
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