Natural Language Processing with spaCy & Python – Course for Beginners

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In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library.

💻 Course website with code:

✏️ Course developed by Dr. William Mattingly. Check out his channel:

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Course Introduction
⌨️ (0:03:56) Intro to NLP
⌨️ (0:11:53) How to Install spaCy
⌨️ (0:17:33) SpaCy Containers
⌨️ (0:21:36) Linguistic Annotations
⌨️ (0:45:03) Named Entity Recognition
⌨️ (0:50:08) Word Vectors
⌨️ (1:05:22) Pipelines
⌨️ (1:16:44) EntityRuler
⌨️ (1:35:44) Matcher
⌨️ (2:09:38) Custom Components
⌨️ (2:16:46) RegEx (Basics)
⌨️ (2:19:59) RegEx (Multi-Word Tokens)
⌨️ (2:38:23) Applied SpaCy Financial NER

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21 thoughts on “Natural Language Processing with spaCy & Python – Course for Beginners”

  1. Nice to see the connection of the real world and code because of NLP. Great to see real life implementations that are beneficial to humanity.

  2. Yes! Please, definitely make a second part. I teach in the Humanities (college literature and creative writing classes), and I’m actively searching for tools I can use for creative experiments with texts.

  3. This should be the official tutorial of Spacy. Thank you very much for your time and effort. Waiting for part 2.

  4. Best Helpline for those who really want to learn NLP with ease and for free , can’t wait for part 2

  5. I’ve come back to this video several times. The ONLY tutorial I’ve seen which walks through the whole process . The Python Tutorials for the digital humanities videos are also great. I am focused on biomedical text, but text is text when you are trying to get started.

  6. Awesome content there Dr. William. I was really hyped during the series and every aspects of spaCy you’ve described perfectly. Now I’m interested on ML aspect of spaCY and It’d be great if you come with ML aspect of spaCy.

  7. Thanks for sharing this enlighting stuff about the spaCy framework! Is there a date when you’re gonna publish part 2? Can’t wait to learn about the machine learning applications of spaCy.

  8. Thank you very much for making this video. I want to create my own corpus to analyze data. But as a newbie to Python, I found it really hard to start without a clear direction. Looking forward to Part 2!

  9. Everyone seemed to be asking for part 2, but this coverage is good enough – so good that I don’t think it deserved a part 2, otherwise a large part is going to be lots of repetition. I will keep exploring deeper based on this video itself.

  10. mark kertzner

    i found this to be an excellent tutorial – very clear, great examples and thorough. thank you for sharing this and i look forward to seeing you continue with another covering machine learning in spacy.

  11. Sazied Hassan

    Thank you such amazing content. This was so easy to follow and understand. Please do a 2nd part to the tutorial!! 🙏

Comments are closed.