
# German Hotel Review Sentiment Classification
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.

# Model Performance

| Classes | Precision | Recall | F1 Score |
| :--- | :---: | :---: |:---: |
| Room | 84.62% | 88.00% | 86.27% |
| Food | 79.17% | 82.61% | 80.85% |
| Staff | 63.64% | 70.00% | 66.67% |
| Location | 83.33% | 62.50% | 71.43% |
| GeneralUtilitys | 76.92% | 76.92% | 76.92% |
| HotelOrganisation | 26.67% | 30.77% | 28.57% |
| Unknown | 25.00% | 16.67% | 20.00% |
| ReasonForStay | 100.00% | 50.00% | 66.67% |
| Accuracy |  |  | 69.00% |
| Macro Average | 67.42% | 59.68% | 62.17% |
| Weighted Average | 69.36% | 69.00% | 68.79% |

## Confusion Matrix
![Confusion Matrix](bert-base-german-cased_German_classification.jpg)

{"language": "de", "license": "apache-2.0", "tags": ["bert"], "widget": [{"text": "Das Fr\u00fchst\u00fcck ist sehr gut, es gibt auch Laktosefreie Produkte.", "example_title": "Example 1"}, {"text": "Das Personal ist sehr kompetent und sehr freundlich.", "example_title": "Example 2"}, {"text": "Die Zimmer sind wie beschrieben sehr klein, vergleichbar mit einer Kreuzfahrtschiffkabine. ", "example_title": "Example 3"}, {"text": "Scheinwerfer vor dem Zimmer ganze Nacht an und zu hell", "example_title": "Example 4"}]}
transformers tf bert text-classification de license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #bert #text-classification #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

German Hotel Review Sentiment Classification
============================================


A model trained on German Hotel Reviews from Switzerland. The base model is the 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.


Model Performance
=================



Confusion Matrix
----------------


!Confusion Matrix



TAGS
#transformers #tf #bert #text-classification #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #tf #bert #text-classification #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
