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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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| Positive | 86.36% | 95.00% | 90.48% | |
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| Negative | 90.91% | 76.92% | 83.33% | |
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| Neutral | 50.00% | 42.86% | 46.15% | |
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| Accuracy | | | 83.00% | |
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| Macro Average | 75.76% | 71.59% | 73.32% | |
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| Weighted Average | 82.45% | 83.00% | 82.41% | |
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## Confusion Matrix |
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