How to Use spaCy to Create an NER training set (Named Entity Recognition for DH 04 | Part 02) скачать в хорошем качестве

How to Use spaCy to Create an NER training set (Named Entity Recognition for DH 04 | Part 02)

In this video, we continue exploring named entity recognition (NER) for the digital humanities in Python, specifically via the spaCy library. In this video, we use the EntityRuler model that we created in the last video to generate automatically a strong training set. We will use this NER training set in the next video to train a custom domain-specific NER machine learning model in spaCy. This will allow us to migrate the approach from rules-based to machine learning based. This is the first step to making a state-of-the-art model on Harry Potter. GitHub link: https://github.com/wjbmattingly/ner_y... If you enjoy this video, please subscribe. I provide all my content at no cost. If you want to support my channel, please donate via PayPal: https://www.paypal.com/cgi-bin/webscr... Patreon:   / wjbmattingly   (its my www.themedievalworld.com account as well). If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it. If you liked this video, check out www.PythonHumanities.com, where I have Coding Exercises, Lessons, on-site Python shells where you can experiment with code, and a text version of the material discussed here. You can follow me at:   / wjb_mattingly