# John Snow LABS NLP
## **Overview**
* ### **All Services**
> As we can see, services on the left are required subscriptions, while services on the right are free to use.

**The demos for their models are listed [here](https://nlp.johnsnowlabs.com/demos)**.

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* ### **Running Environment**
> **Can be ran on both cloud platforms and on-premise.**

> **All data are secured and will not send to John Snow LABs. No need for internet connection after installation.**

> **The NLP modlels are fully customizable and can be trained by ourselves, some examples are provided.**

**More Q&A details available [here](https://www.johnsnowlabs.com/install/)**

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* ### **Pricing**
> **Need to contact their market team for more pricing info. Currently the "Healthcare" category is the most interesting package to us, and the "Community" package is free to use.**

## **Healthcare NLP**

### **All Healthcare NLP Models**
**Below are the models offer for Healthcare.**

> Below I will use "Recognize Clinical Entities" model as example **↓**.
### **Recognize Clinical Entities Demos**
> **Multiple demos are actually presented for one NLP model, find more demos [here](https://nlp.johnsnowlabs.com/diagnoses_procedures).**


> Use "Detect clinical entities in text" as example to continue **↓**"

### **Detect Clinical Entities in Text**
#### **Live Demo**
> **Content page showing the model's functionality. Link available [here](https://demo.johnsnowlabs.com/healthcare/NER_CLINICAL/)**

> * **There are also online Colab samples (IPython Notebook) available [here](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/1.Clinical_Named_Entity_Recognition_Model.ipynb)**
> * Tutorials to run the demo are presented in the page(shown below).

> * The model is required a product key from John Snow LABs to start.

> * **The product key (JSON file) can be uploaded in two ways(shown below)**
> Note that we may need to rename the JSON file base on the colab code, I found that they are using different filenames to read the JSON across different demos.

### **Detect Sentence Similarity**
> **Without Lisence(product key), we can still try out one of their free models to get a taste of how these demo works. Demo link available [here](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/SENTENCE_SIMILARITY.ipynb#scrollTo=TA21Jo5d9SVq).**

> **Got result from the model after running the code blocks.**