Welcome to the workshop!
Welcome to machine learning and NLP — named entity recognition and sentiment analysis

Today's icebreaker:
NLP word jumble
Unscramble this NLP-related word:
TNEESMITN
Share your answer in the chat!
Today's agenda:
- **Review:**Recapping key concepts.
- **Demo:**Using SpaCy for NER.
- **Practice:**Hands-on NER challenges.
- **Closing:**Key takeaways and next steps.
Today's learning objectives:
- Explore the fundamentals of NER by using pre-trained models, identifying entities and processing text for NLP tasks.
- Develop skills in customising NERby creating domain-specific entity patterns for various industries.
- Learn to evaluate and visualise NER resultsusing Matplotlib to analyse entity frequencies and distribution.
- Gain experience in combining multiple NLP techniquesintegrating sentiment analysis with NER to build advanced text analysis pipelines.