---
license: other
language:
- en
pipeline_tag: text-classification
tags:
- legal
- privacy
- intent
- privacy policies
---

# privacy_intent for privacy policy intent classification

This model is fine-tuned version of [mukund/privbert](https://huggingface.co/mukund/privbert) model on [PolicyIE dataset ](https://github.com/wasiahmad/PolicyIE/blob/main/data/sanitized_split.zip).

- Reference Paper: [Intent Classification and Slot Filling for Privacy Policies](https://aclanthology.org/2021.acl-long.340/).
- The back translation method (data augmentation) resulted in a 1% improvement in performance when applied to imbalanced samples
- **F1 Score: 88** (%4 performance increase compared to original work)
  
<b>5 Intents (Labels)</b>: 

*(1) Data Collection/Usage: What, why and how user information is collected;*

*(2) Data Sharing/Disclosure: What, why and how user information is shared with or collected by third parties;*

*(3) Data Storage/Retention: How long and where user information will be stored;*

*(4) Data Security/Protection: Protection measures for user information;*

*(5) Other: Other privacy practices that do not fall into the above four categories.*

```python
from transformers import pipeline

pipe = pipeline("text-classification", "remzicam/privacy_intent")
text="At any time during your use of the Services, you may decide to share some information or content publicly or privately."
pipe(text)
```

Output

```
[{'label': 'data-sharing-disclosure', 'score': 0.8373807072639465}]

```