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Course Outline
Introduction to NLP
- What is Natural Language Processing?
- The significance of NLP in modern AI applications
- Popular libraries for NLP: NLTK, SpaCy, Hugging Face
Text Preprocessing Techniques
- Tokenization and removal of stop words
- Stemming and lemmatization
- Text normalization techniques
Sentiment Analysis
- Introduction to sentiment analysis
- Executing sentiment analysis with NLTK
- Utilizing SpaCy for advanced sentiment analysis
Advanced NLP Techniques
- Named entity recognition (NER)
- Text classification
- Language modeling with pre-trained models
Working with Google Colab
- Introduction to the Google Colab environment
- Setting up and managing NLP projects in Colab
- Collaborating on NLP tasks in Colab
Real-World Applications of NLP
- NLP applications in healthcare, finance, and customer support
- Leveraging NLP for chatbots and virtual assistants
- Future trends in NLP research
Summary and Next Steps
Requirements
- Fundamental understanding of natural language processing concepts
- Proficiency in Python programming
- Experience with Jupyter Notebooks or comparable environments
Audience
- Data scientists
- Developers experienced with Python
- AI enthusiasts
14 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 3200 € + VAT*
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