San Francisco, California
London, United Kingdom
Advanced Text and Web Mining Techniques with RapidMiner and RapidAnalytics
Thursday, June 20th and Friday, June 21st from 8:30 am to 5 pm
A light breakfast, lunch and afternoon snacks will be provided.
Be sure to check out our Introduction to Data Mining and Predictive Analytics with RapidMiner course being held in the same location June 20 and 21. Register for both at the same time to get a special discount.
Class size for this event is limited to 12 students. If the class is sold out and you wish to be added to a waiting list, contact the event organizer.
This training course is an introduction into knowledge discovery from unstructured data like text documents. It focuses on the necessary preprocessing steps and the most successful methods for automatic text classification (including Naive Bayes and Support Vector Machines, SVM) and text clustering. Many practical exercises for different settings (for example e-mail spam detection, automatic e-mail routing, adaptive personal news filtering, sentiment analysis of text documents like news, web pages, blogs, e-mail, or PDF documents) will enable the participants to transfer the gained knowledge to own text mining problems.
After the training course the participants will have the ability to:
- identify the processes for processing unstructured data
- transform textual data into a structured format
- apply different statistical text processing methods
- perform text classification or text clustering
- work on recent tasks like sentiment analysis or opinion mining
- Target audience: users, analysts, developers, administrators
- Previous knowledge: foundations of data mining and RapidMiner
- Methods: lectures, discussions, individual and group work, exercises on realistic data.
Participants may introduce their own work and project specific questions in order to find particular solutions together with the trainer and other participants. The training course addresses intermediate learners and we recommend visiting the course Introduction to Data Mining and Predictive Analytics with RapidMiner.
- Loading of texts
- Loading from flat files
- Loading from data sets
- Loading from data bases
- Loading from process definitions
- Visualizing documents and tokens
- High-dimensional visualizations for transformed documents
- Handling unstructured data
- Preprocessing of textual data
- Filtering of tokens
- Term frequencies
- Document frequencies
- Advanced modeling
- Methods for high-dimensional data
- Support Vector Machines
- Text classification
- Text clustering
- Web Mining
- Crawling the web
- Extracting information from web sites
- Transforming web sites to documents
- Information extraction using XPath or regular expressions
You must bring a laptop to class (Windows, Mac or Linux OS is fine). Should have Java Runtime Environment (JRE) version 1.6 (officially Java 6.0) or later installed. Students will be provided with links to install the Community Version of RapidMiner prior to the class.
David Weisman is a data scientist consultant with over 35 years of experience in the software field. In addition to consulting, he is a researcher at the University of Massachusetts Boston, working at the intersection of molecular biology and data mining. David is searching for cancer biomarkers in enormous volumes of DNA sequence data, identifying biosensors of environmental pollutants in bacterial and plant transcriptomic data, and teaching bioinformatics courses. Prior to obtaining his recent Ph.D. in molecular biology, David ran a long-term successful software consulting firm, specializing in distributed system development, compiler design, operating system development, quantitative finance, network security, and health care informatics.
Training Facility Logistics
The training will be held in downtown Boston at the MicroTek/CompuWorks training facility. The facility is near Boston's South Station and public transportation. Check their website for directions, specials on parking and nearby hotels (use their name and you should get the corporate rate).
Classes require a minimum of 3 students by June 13 to be held. If there are insufficient registrants, the class may be cancelled and all students will be refunded the full registration fee. Students should organize their travel arrangements accordingly and with this proviso. Rapid-I will promptly notify registered users as soon as the 3 students quota will be met.
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Our Refund Policy: Plans change? We get it. But if you can't make it to the class, please email us at email@example.com no later than June 12. No refunds will be given after this timeframe.
When & Where
RapidMiner offers a variety of ways to learn and develop your skills with the RapidMiner product suite. Our training courses are the most efficient and effective way for data analysts, data scientists, and administrators to get started with RapidMiner. They are also the perfect preparation for our , which can qualify you as a Certified RapidMiner Analyst and Certified RapidMiner Expert.