Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours (2 days)
Course Outline
Introduction to NLP
- Defining Natural Language Processing
- The significance of NLP in contemporary AI applications
- Leading NLP libraries: NLTK, SpaCy, and Hugging Face
Text Preprocessing Techniques
- Tokenization and removal of stop words
- Stemming and lemmatization
- Text normalization methods
Sentiment Analysis
- Overview of sentiment analysis
- Implementing sentiment analysis with NLTK
- Leveraging SpaCy for advanced sentiment analysis
Advanced NLP Techniques
- Named entity recognition (NER)
- Text classification
- Language modeling using pre-trained models
Working with Google Colab
- Overview of the Google Colab environment
- Setup and management of NLP projects in Colab
- Collaborative work on NLP tasks within Colab
Real-World Applications of NLP
- NLP usage in healthcare, finance, and customer support
- Building chatbots and virtual assistants with NLP
- Emerging 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
Target Audience
- Data scientists
- Developers experienced in Python
- Artificial Intelligence enthusiasts
