NEGATIVE POSITIVE
---
language: 
- es

tags:
- Text Classification

---

## language:  
  - es

## tags:
  - amazon_reviews_multi
  - Text Clasiffication

### Dataset

![alt text](https://github.com/LuisU0124/IImage-NLP/blob/main/tokenmiz.png?raw=true)

### Example structure review:

| review_id (string) | product_id (string) | reviewer_id (string) | stars (int) | review_body (string) | review_title (string) |	language (string) | product_category (string) |
| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |
| de_0203609|product_de_0865382|reviewer_de_0267719|1|Armband ist leider nach 1 Jahr kaputt gegangen|Leider nach 1 Jahr kaputt|de|sports|

### Model

![alt text](https://github.com/LuisU0124/IImage-NLP/blob/main/Model.png?raw=true)

### Model train

![alt text](https://github.com/LuisU0124/IImage-NLP/blob/main/model%20train.png?raw=true)

| Text | Classification |
| ------------- | ------------- |
| review_body | stars |

### Model test

![alt text](https://github.com/LuisU0124/IImage-NLP/blob/main/test%20model.png?raw=true)


### Clasiffication reviews in Spanish

Uses `POS`, `NEG` labels.