pytextrank/pytextrank.py
def enumerate_chunks (phrase, spacy_nlp):
    """
    iterate through the noun phrases
    """
    if (len(phrase) > 1):
        found = False
        text = " ".join([rl.text for rl in phrase])
        doc = spacy_nlp(text.strip(), parse=True)

        for np in doc.noun_chunks:
            if np.text != text:
                found = True
                yield np.text, find_chunk(phrase, np.text.split(" "))

        if not found and all([rl.pos[0] != "v" for rl in phrase]):
            yield text, phrase
def enumerate_chunks (phrase, spacy_nlp):
    """
    iterate through the noun phrases
    """
    if (len(phrase) > 1):
        found = False
        text = " ".join([rl.text for rl in phrase])
        doc = spacy_nlp(text.strip(), parse=True)

        for np in doc.noun_chunks:
            if np.text != text:
                found = True
                yield np.text, find_chunk(phrase, np.text.split(" "))

        if not found and all([rl.pos[0] != "v" for rl in phrase]):
            yield text, phrase
def enumerate_chunks ( phrase , spacy_nlp ) : if ( len ( phrase ) > 1 ) : found = False text = " " . join ( [ rl . text for rl in phrase ] ) doc = spacy_nlp ( text . strip ( ) , parse = True ) for np in doc . noun_chunks : if np . text != text : found = True yield np . text , find_chunk ( phrase , np . text . split ( " " ) ) if not found and all ( [ rl . pos [ 0 ] != "v" for rl in phrase ] ) : yield text , phrase
iterate through the noun phrases
iterate through the noun phrases