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Mehta Swaraj




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import spacy
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nlp = spacy.load('en_core_web_sm') # or some other model
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text_to_be_annotated = nlp('Put your long to-be-annotated text here')
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# pos: part-of-speech tagging
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# lemma: base form of the word
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# vector: embedding of the token (optional)
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annotated_text = {token : (token.pos_, token.lemma_, token.vector) 
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                  for token in text_to_be_annotated}

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How to spacy text annotation dict comprehension (Python Programing Language)

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How to test curl php script hello world (PHP Scripting Language)


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