Text Analysis with Watson Natural Language Processing
Project
Communications

In this project, you will find examples on how to use Watson Natural Language Processing models to extract insights from text. You'll also see how you can use Watson Natural Language Processing to create your own models. The project contains one data set as CSV, and five notebooks. 4 notebooks use the DO + NLP Runtime 22.1 environment. This environment contains the watson_nlp Python library, and provides access to pre-trained NLP models. One notebook uses a custom environment, based on the latest Python and Watson NLP, to have more CPU and Memory resources available for the notebook.

Publisher
IBM Analytics
Modified
Nov 22, 2022
Required Services
0
Assets
1 Data sets
data set
5 Notebooks
notebook
Drag and drop files to add data source.