NER Data Annotation for SpaCy v3.0 π
Learn how to quickly annotate training data for custom NER models in SpaCy v3.0 using free open-source tools.

Deepak John Reji
14.6K views β’ Sep 22, 2022

About this video
This video explains how you can quickly and easily annotate the training data for a custom NER pipeline project for free. In this video, we are using open-source software https://tecoholic.github.io/ner-annotator/ and a few custom python snippets to generate the training data for the NER model.
Github: https://github.com/dreji18/NER-Training-Spacy-3.0/blob/main/NER%20Training%20Data%20Annotation.ipynb
Watch this video to Train the custom NER model: https://youtu.be/9mXoGxAn6pM
Host your NER model in Huggingface Hub: https://youtu.be/cjPpuha19fk
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Watch other tutorials like this:
Host your Spacy Model in Huggingface: https://youtu.be/cjPpuha19fk
Semantic Search using Elmo : https://youtu.be/Lvv4n5_Jjj0
Topic Extraction using Embeddings: https://youtu.be/LBtfXpYqrwc
Github: https://github.com/dreji18/NER-Training-Spacy-3.0/blob/main/NER%20Training%20Data%20Annotation.ipynb
Watch this video to Train the custom NER model: https://youtu.be/9mXoGxAn6pM
Host your NER model in Huggingface Hub: https://youtu.be/cjPpuha19fk
==========================================================================
Watch other tutorials like this:
Host your Spacy Model in Huggingface: https://youtu.be/cjPpuha19fk
Semantic Search using Elmo : https://youtu.be/Lvv4n5_Jjj0
Topic Extraction using Embeddings: https://youtu.be/LBtfXpYqrwc
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Video Information
Views
14.6K
Likes
189
Duration
7:10
Published
Sep 22, 2022
User Reviews
4.5
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