Welcome to the workshop!
Workshop
In ProgressWelcome 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:
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Review:
Recapping key concepts.
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Demo:
Using SpaCy for NER.
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Practice:
Hands-on NER challenges.
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Closing:
Key takeaways and next steps.
Today's learning objectives:
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Explore the fundamentals of NER
by using pre-trained models, identifying entities and processing text for NLP tasks.
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Develop skills in customising NER
by creating domain-specific entity patterns for various industries.
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Learn to evaluate and visualise NER results
using Matplotlib to analyse entity frequencies and distribution.
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Gain experience in combining multiple NLP techniques
integrating sentiment analysis with NER to build advanced text analysis pipelines.
Workshop slides
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In progress