Introduction: One of the main application of spacy is to perform named entity recognition or ner activity with it. Named entity recognition stands for the NLP task where we detect named entity or entities such as organization, person, location etc different entity names. Spacy provides built-in methods to detect named entity recognition. In this article, we will go through the basics of detecting the different ner and using the spacy ner features. What is NER and what are the different labels? NER or named entity recognition, is the procedure to detect named entities using natural language processing algorithms. In spacy, universal ner labels are detected by default. So there are the following ner in this ner label list: (1) PERSON: this represents any kind of person. This includes fictional and real people. fictional basically refers to cartoon, movie or book characters etc. (2) NORP: nationalities or religious or political groups. This refers to basically a type of co...
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