Named Entity Recognition, also known as NER is a technique used in NLP to identify specific entities such as a person, product, location, money, etc from the text. It has many useful real-life use cases such as document search, recommendations, customer support ticket routing, and many more. In this video, I will give you a very simple explanation of NER, and then we will write code in Spacy to explore detect entities.
Code: https://github.com/codebasics/nlp-tutorials/blob/main/8_NER/nlp_tutorial_NER.ipynb
Exercise: https://github.com/codebasics/nlp-tutorials/blob/main/8_NER/named_entity_recognition_exercise.ipynb
Complete NLP Playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
⭐️ Timestamps ⭐️
00:00 Introduction
00:13 Application of NER in Real Life
06:49 Coding: NER in Spacy
17:47 Approaches to Build a NER System
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#namedentityrecognition #ner #nernlp #whatisner #applicationofner #nerinspacy #spacy #nersystem #spacyner #nertutorial
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