Extracting Noun Phrases with spaCy

This function uses the spaCy library to extract noun phrases from the given text. It first loads the English model, then processes the text for tokenization, part-of-speech tagging, syntactic parsing, etc., and finally extracts noun phrases from the analysis results.

Technology Stack : spaCy

Code Type : Function

Code Difficulty : Intermediate

                
                    
def extract_noun_phrases(text):
    """
    This function uses spaCy's NLP capabilities to extract noun phrases from a given text.

    :param text: str - the text from which noun phrases are to be extracted
    :return: list - a list of noun phrases extracted from the text
    """
    import spacy

    # Load the English tokenizer, tagger, parser, NER, and word vectors
    nlp = spacy.load('en_core_web_sm')

    # Process the text
    doc = nlp(text)

    # Extract noun phrases
    noun_phrases = [chunk.text for chunk in doc.noun_chunks]

    return noun_phrases