Description
In this course, you will learn:
- By the end of this course, you will be able to create, validate, and use content Mining workflows to automatically classify and organize natural language content.
- How to create processes that extract entities (people, organizations, locations, genes, medications, etc.) from natural language text and uncover their associations.
- How to retrieve natural language material from a variety of sources, including RSS feeds, web sites, YouTube, Twitter, PubMed, PDF and txt files.
- The course is self-contained, with hands-on lectures that use the KNIME open source software platform, which combines the power and expressiveness of Weka, R, Java, and Python.
Syllabus:
- Text Preprocessing
- Text Categorization
- Documents Organization
- Information Extraction
- Attendance Certificate