This course is about text mining, its theory, concepts, and applications. Specifically, the course focuses on the acquisition, processing and mining of textual data with KNIME Analytics Platform. You will learn how to use the Text Processing Extension to read textual data into KNIME, enrich it semantically, preprocess it, transform it into numerical data, and extract information and knowledge from it through descriptive analytics (data visualization, clustering) and predictive analytics (regression, classification) methods. Course also covers popular text mining applications including social media analytics, topic detection and sentiment analysis.
Learn how to implement all these steps using real-world time series datasets. Put what you’ve learnt into practice with the hands-on exercises.
This course consists of four, 90 minute online sessions run by Professor Dursun Delen and one of our KNIME data scientists. Each session has an exercise for you to complete at home. The course concludes with a 45 minute wrap up session.
- Session 1: Introduction to Text Processing and Importing Text
- Session 2: Tokenization and Enrichment
- Session 3: Preprocessing, Transformation, and Classification Models
- Session 4: Visualization, Clustering, and Topic Modeling
- Session 5: Movie Forecasting Use Case, Recap and final Q&A
You must be competent in using KNIME Analytics Platform. We strongly recommend you be at the level of an advanced KNIME user - for example you’ve taken a basic and advanced KNIME Analytics Platform Course and/or use KNIME on a regular basis.
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Sure! The sessions will be recorded and you’ll have access to each one for seven days from the time the session is over.
Absolutely - fire away!
Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform.
Download the latest free, open source version of KNIME here: knime.com/downloads.