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13 lines
500 B
Python
13 lines
500 B
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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import spacy
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nlp = spacy.load("en_core_web_trf", disable=["tagger", "parser", "attribute_ruler", "lemmatizer"])
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# nlp = spacy.load("en_core_web_md", disable=["tok2vec", "tagger", "parser", "attribute_ruler", "lemmatizer"])
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# doc = nlp("Do you know Spotify? I live in Paris and I'm Matthieu")
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doc = nlp("Hi, I'm louis and I'm from saint-claude. Today I live in Shenzhen China and I work at Alibaba")
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for ent in doc.ents:
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print(ent.text, ent.label_)
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