A deep learning based pos/ner tagging web application provides web interface as well as ReST-Api calls to get your tags.

It uses LSTM and glove embeddings to find best tags.

You can run following commands to get the app running.

docker pull adityajn105/ner_pos_tagging_app:latest
	
docker run -d -p 80:80 adityajn105/ner_pos_tagging_app:latest

Get app in your browser by visiting http://localhost.

Alternatively you can use app as ReST Api

• For Named entity recognition use.

    curl -X GET "http://localhost?sentence=This+application+is+made+by+Aditya.&type=ner"
  

• For Part of Speech Tagging use:

    curl -X GET "http://localhost?sentence=This+application+is+made+by+Aditya.&type=pos"
  

• It will return a json output as,

  {
      'status': True,
      'message': 'Description of response generated',
      'tags' : list of tags 
  }
  

• Aditya Jain