Overview of Text Mining and NLP Techniques - No-Code Approach KNIME Analytics - NLP Tutorial

Explore text mining and natural language processing techniques using a no-code approach with KNIME Analytics Platform in this comprehensive 55-minute tutorial. Dive into the world of unstructured text processing and analysis, learning how to classify sentiment in product reviews and extract topics from large document sets automatically. Follow along as the instructors demonstrate the use of KNIME's Text Processing extension, covering important nodes and providing example workflows. Gain practical experience through a sentiment analysis exercise using movie reviews, a topic extraction demonstration with medical abstracts, and a live data app example utilizing real-time tweets. Discover the philosophy behind text processing, understand additional data types, and explore clustering and LDA techniques. By the end of this tutorial, you'll have the knowledge and resources to confidently apply text mining and NLP techniques using KNIME's visual workflow approach.

Introduction
Agenda
KNIME Analytics Platform- Visual KNIME Workflows
Philosophy of Text Mining
Additional Data Types
Sentiment Analysis
Sentiment Analysis Demo
Clustering and LDA
Resources/ Wrap-up
Q&A