Using the IBM Watson Natural Language Processing library with the online collaboration tool MURAL

Sarah Packowski - IBM - ( [email protected] )
Anuj Jain - MURAL - ( [email protected] )
Josie Buter - IBM - ( [email protected] )

Contents below

• Background
• About the workshop
• Prerequisites
• Workshop notebooks
• Demo videos

The IBM Watson Natural Language Processing library is a Python library that provides basic natural language processing (NLP) such as syntax analysis and keyword extraction with out-of-the-box, pre-trained models. The Watson NLP library also makes it simple to customize the language models with dictionaries of your domain-specific terms.

MURAL is an online tool that is like a virtual whiteboard: you can draw shapes, stick notes, and move things around. It’s a fabulous tool for visually organizing ideas, designing solutions, and collaborating with teammates — in real time or asynchronously.

Wednesday, November 16th, 2022

The workshop is in two parts:

• Part 1: 10:30am - noon (Toronto time) See: WeaveSphere web page
• Part 2: 1:00pm - 2:30pm (Toronto time) See: WeaveSphere web page

In this workshop, participants will use the Watson NLP library and the MURAL API to work with murals:

1. Read the contents of sticky notes using the MURAL API
2. Analyze sticky note contents using Watson NLP
3. Cluster sticky notes based on theme
4. Programmatically move sticky notes in a mural into groups based on NLP analysis

Before beginning the workshop, complete the following prerequisite steps:

1. Register for an IBM Cloud account
2. Create an instance of IBM Cloud Pak for Data as a Service

You can accomplish both of these things in one step here:
https://dataplatform.cloud.ibm.com/registration/stepone?audience=wdp

See also:

• IBM Cloud account
• IBM Watson Studio (also called "IBM Cloud Pak for Data as a Service")

Part 1 of the workshop steps through running this sample notebook:
WEAVESPHERE-2022-Workshop-Part-1-of-2

Part 2 of the workshop steps through running this sample notebook:
WEAVESPHERE-2022-Workshop-Part-2-of-2