Machine Learning NER with Python and spaCy (NER for DH 03 )

[@python-programming]

Check out the Textbook for this series: ner.pythonhumanities.com/intro.html

[@conlanmcconvey2172]

Whole series is an absolute gem... the pace, the way it comes together - 14/10 would recommend

[@milovanmarrder668]

This classes are the best material i have founded.

[@fuzzywuzzy318]

i can see that you have put a lot hard on design and recording this video, it deserve 1 billion like !!!!!!!!!!!!!!!!! the coursera is really thoughtful designed !!!!respect!

[@python-programming]

Thanks!

[@mohamedelmeziani4012]

thank you so much for sharing this. Very clear explanation for advanced topics.

[@python-programming]

No problem!

[@ricardocalleja]

The playlist jumps from (NER for DH 01) to (NER for DH 03 ), the second video is: Rules Based NER in Python (Named Entity Recognition for Digital Humanities 02)

[@python-programming]

Thanks for the heads up! I will fix it when I get to a computer on Monday

[@natagua1234]

​@@python-programming hi! It still does :(

[@giacomograzia2471]

@python-programming still missing DH02

[@tomq6491]

very well explained. Thanks. I wonder if they thought Vernon was the organisation behind the Pools? (A once very popular way of placing bets based on football results.)

[@pcxxy]

never thought i'd hear about men changing into women in a programming video lol jokes aside, this video series is an absolute gem, as i try to learn NLP to help with real world applications!!

[@abedatascience3840]

Awesome and very simple explanations, for beginner it so superb. Please, can you tell when custom word embedding for NER Spacy tutorial that you mentioned on this video is coming up so that my customer NER model will be more domain specific. Thank you for your support and easy to follow videos

[@python-programming]

Thanks for the feedback! Next week the videos on word vectors come out.

[@Srikanth-Ryali]

Greatful for the video.. one quesion may i know how was the harry potter json created

[@python-programming]

Thanks! I grabbed a list of characters from Wikipedia and then manipulated the data to grab all individual names and full names.

[@TJ-hs1qm]

Look the same Dursley family from A Mathematical Framework for Transformer Circuits 🙂