| --- |
| language: eng |
| tags: |
| - bert |
| license: apache-2.0 |
|
|
| widget: |
| - text: "The hotel is very nicely located" |
| example_title: "Example 1" |
| - text: "The reception staff were extremely helpful and very welcoming" |
| example_title: "Example 2" |
| - text: "There is no balcony in the rooms on the mountain side" |
| example_title: "Example 3" |
| - text: "A bit pricey" |
| example_title: "Example 4" |
| --- |
| |
| # German Hotel Review Sentiment Classification |
| 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. |
|
|
| # Model Performance |
|
|
| | Classes | Precision | Recall | F1 Score | |
| | :--- | :---: | :---: |:---: | |
| | Room | 77.78% | 77.78% | 77.78% | |
| | Location | 95.45% | 95.45% | 95.45% | |
| | Staff | 75.00% | 93.75% | 83.33% | |
| | Unknown | 71.43% | 50.00% | 58.82% | |
| | HotelOrganisation | 27.27% | 30.00% | 28.57% | |
| | Food | 87.50% | 87.50% | 87.50% | |
| | ReasonForStay | 63.64% | 58.33% | 60.87%| |
| | GeneralUtility | 66.67% | 50.00% | 66.67% | |
| | Accuracy | | | 74.00% | |
| | Macro Average | 70.59%| 67.85% | 68.68% | |
| | Weighted Average | 74.17% | 74.00% | 73.66% | |
|
|
| ## Confusion Matrix |
|  |
