From Python to KNIME: spaCy as a low-code extension for NLP

An ever-increasing share of human interactions, communications, and culture is conveyed as digital text. Just think of the humongous number of written social media interactions (e.g., posts, comments, threads) that are published worldwide every day.

This bulk of digital textual data often contains valuable information and gives us unprecedented insights into fundamental questions in the social sciences, humanities, and industry. To effectively leverage it, we need Natural Language Processing (NLP) techniques to clean, transform, enrich, extract and model unstructured text data.

spaCy is a free, open-source library for advanced NLP in Python and is designed specifically for production use. Redfield AB, a KNIME Trusted Partner, has wrapped this library in a dedicated KNIME extension to enable all data professionals to unleash spaCy’s text processing and information extraction capabilities in KNIME workflows.

In this webinar, we will learn what spaCy is, how it processes and understands texts. We will walk you through a collection of use cases that integrates spaCy in KNIME workflows and combines it with KNIME Text Processing extension in order to harness the power of these technologies for advanced low-code NLP solutions.