Python Deep Learning Projects

NER

Finally, there's NER. Named entities are the proper nouns of sentences. Computers have gotten pretty good at figuring out if they're in a sentence and at classifying what type of entity they are. spacy handles NER at the document level, since the name of an entity can span several tokens:

doc = nlp(u"My name is Jack and I live in India.")entity_types = ((ent.text, ent.label_) for ent in doc.ents)print(tabulate(entity_types, headers=['Entity', 'Entity Type']))Output:Entity     Entity Type --------   ------------- Jack       PERSON India      GPE

So, we just saw some of the basic building blocks of the NLP pipeline. These pipelines are consistently used in various NLP projects, be it in machine learning or in the deep learning space. 

Does something look ...