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Course Outline
Introduction to NLP Methods
- word and sentence tokenization
- text classification
- sentiment analysis
- spelling correction
- information extraction
- parsing
- meaning extraction
- question answering
NLP Theory Overview
- probability
- statistics
- machine learning
- n-gram language modeling
- naive bayes
- maxent classifiers
- sequence models (Hidden Markov Models)
- probabilistic dependency
- constituent parsing
- vector-space models of meaning
Requirements
No prior knowledge of NLP is required.
Required: Proficiency in at least one programming language (e.g., Java, Python, PHP, VBA).
Expected: Solid mathematical foundation (A-level equivalent), particularly in probability, statistics, and calculus.
Beneficial: Understanding of regular expressions.
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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