Precision vs. Recall and Adding PERSON to Holocaust NER Pipeline (Named Entity Recognition DH 09.06) скачать в хорошем качестве

Precision vs. Recall and Adding PERSON to Holocaust NER Pipeline (Named Entity Recognition DH 09.06)

This video is a little longer than my normal videos in this series and for good reason. To understand the ways to identify better people through NER, we need to understand how the measure the accuracy of the existing NER model for en_core_web_sm from spaCy. This video uses the spaCy small model's NER to identify people at the end of the pipeline because of precision and recall, two metrics for accuracy. In this video, I explain not only how and why I am developing the PERSON component of the NER pipeline, but also what precision and recall are and why they are useful to consider when measuring accuracy in named entity recognition. 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