Course

KNIME Text Mining Course

December 12, 2019 - Berlin

This course focuses on the processing and mining of textual data with KNIME Analytics Platform. Learn how to use the Textprocessing Extension to read textual data in KNIME, enrich it semantically, preprocess it, and transform it into numerical data. The course also demonstrates how to cluster the data, visualize it, or build predictive models.

Course Content

  • Introduction to KNIME
  • Reading and Importing Textual Data
  • Text Preprocessing, Semantic Enrichment, and Transformation
  • Text Classification
  • Visualization
  • Text Clustering

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Please note: We have a new office space (which is very cool!), but we don't have wheelchair friendly access just yet. We apologize for any inconvenience.

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FAQ
What do I need to bring?

Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.

What level of KNIME experience is needed for this course?

You should be familiar with KNIME Analytics Platform and ideally be using it on a regular basis. This course doesn’t provide an introduction to KNIME. We recommend you be at the level of an advanced KNIME user.

Agenda

9:30 – 10:15
Getting started with KNIME

Introduction
The KNIME Workbench
Overview of target workflow
The KNIME Textprocessing Extension
10:15 – 11:15
Importing text

Data Source nodes
Reading files
Creating documents
11:15 – 12:00
Enrichment

POS tagging
Names entity recognition
Semantic enrichment
12:00 – 1:00
Lunch
1:00 – 2:00
Preprocessing and
transformation

Preprocessing and filtering
Transformation into Bag of Words and vector representations
Frequency computation
2:00 – 3:00
Classification

Predictive modeling overview
Learner/predictor motif
Creating test and training Sets
An example: decision trees
Sentiment analysis
3:00 – 3:30
Coffee Break
3:30 – 4:00
Visualization

Tag clouds
Document viewer
4:00 – 5:00
Clustering

Hierarchical clustering
K-Medoids clustering
5:00 – 5:30
Supplementary workflows

Overview of additional workflows
Q&A to explore previous topics in more detail
KNIME Spring Summit Data Science in Action - Berlin 2020

March 30 - April 3, Berlin

KNIME Spring Summit 2020