Welcome to our Data Science Projects series!
In this session, we'll explore the fascinating world of Named Entity Recognition (NER) using Python. NER is a crucial component in Natural Language Processing (NLP) that helps in identifying and classifying key information (like names of people, organizations, locations, dates, etc.) from text.
What You'll Learn:
- Introduction to Named Entity Recognition (NER)
- Setting up the Python environment for NER
- Understanding and using popular NER libraries like spaCy and NLTK
- Hands-on coding session to extract entities from text
-Real-world applications of NER in data science projects
Why Watch?
-Gain a solid foundation in NER, an essential NLP task
-Learn practical coding skills to implement NER in Python
- Discover how NER can be applied in various data-driven industries
Anyone interested in the intersection of language and technology
Don't forget to like, subscribe, and hit the bell icon to stay updated with our latest videos in the Data Science Projects series. Let's dive into the world of NER and see how you can harness the power of language using Python!
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