Introduction to Natural Language Processing with Python
Analyse text data better!
This course focuses on natural language processing using text data and offers you a comprehensive insight into the dynamic field of Natural Language Processing (NLP). It answers key questions such as: What exactly is NLP? Why is it relevant? And how can basic techniques and methods be used effectively in specific use cases?
What will you learn?
Natural Language Processing (NLP): You will receive an overview of typical tasks, terms and possible applications.
Text data preprocessing: You will use SpaCy for typical work steps such as sentence recognition, tokenisation, handling of stop word and punctuation handling, lemmatisation, part-of-speech tagging, named entity recognition, dependency parsing, rule-based matching.
Word embeddings: You understand word representations in a high-dimensional vector space.
Text Scraping: You use Selenium to process text data from the World Wide Web.
NLP corpora: You will gain an overview of freely available text data.
Regular Expressions: You will learn how to search strings for relevant patterns
Duration of the course: 2 days
This course teaches you the basics of processing language data using Python and prepares you for more advanced topics.
Price/participant: 899€ plus VAT.
(Benefit from an exclusive discount if you register for several courses).
You can count on it!
Live tutoring
Blended learning
Individual location & time planning
Materials available for download
Certificate of completion
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