Text Mining with RapidMiner

The webinar provides an introduction into knowledge discovery from unstructured data like text documents. It focuses on the most important preprocessing steps and the most successful methods for automatic text classification (including Naive Bayes and Support Vector Machines, SVM). This webinar also includes several practical exercises for different settings like automatical e-mail routing or adaptive personal news filtering.

Topics of this webinar are

• Introduction into Data Mining on Texts
• Preprocessing of Textual Data: tokenizing, tagging, term frequencies, document frequencies, TFIDF
• Machine Learning Methods for Text Mining: Naive Bayes and Support Vector Machines
• Automatic Text Classification

• Since the number of participants is limited, we recommend an early registration.
• The webinar is laid out for 90 minutes.
• The webinar will be held in English language.
• The instructors are professional data analysts with years of practical data mining experience with RapidMiner.
• The login details for the webinar will be send three working days before the webinar date. A registration is possible until 4 hours in advance at the latest.