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 (sentiment analysis, classification) methods. Course also covers popular text mining applications including social media analytics, topic detection and sentiment analysis. In addition, we showcase Redfield NLP extensions enabling text processing with multiple languages and analysis with a BERT model. Throughout the course, you have opportunities to put into practice what you’ve learnt with hands-on exercises.
This is an external instructor-led course consisting 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 first need to create an account on the KNIME Learning Store. After you log on to the KNIME Learning Store, clicking on the “Register now” button will take you to the course web page.
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 can join the course using the Zoom links found in your LearnUpon course page. You will also receive an email with the Zoom link one day prior to each session. Please note that each Zoom link is specific to a particular session. Make sure you have a stable internet connection!
This course will be taught in English.
Sure! The sessions will be recorded and you’ll have access to each one for one month 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.