Persian text analyzer

NER, Sentiment, Classification in Persian text by using prepared Pytorch model

Usage

1. First of all you need to download the prepared models. Each task has it's own model. After downloading them, you should put them into related folders.

• NER Model, 619 MB

• Sentiment Model, 69 MB

• Classification Model, 69 MB

2. Use docker-compose to setup Django container by bellow command:

docker-compose up

4. Now, Django app is ready to use. Three APIs are available:

• http://localhost:8040/v1/app/ner/
• http://localhost:8040/v1/app/sentiment/
• http://localhost:8040/v1/app/classification/

You should send POST request with text field in the body.