Python load_nlp_pipeline Examples

Example #1

 def __call__(self, text):
     return process_text(text,
                         load_nlp_pipeline('jp'),
                         return_lemma=True,
                         filter_stopwords=True)

Example #2

 def __call__(self, text):
     return process_text(text, load_nlp_pipeline('zh'))

Example #3

 def __call__(self, text):
     return process_text(text, load_nlp_pipeline('ro'), return_lemma=True)

Example #4

 def __call__(self, text):
     return process_text(text,
                         load_nlp_pipeline('jp'),
                         filter_numbers=True,
                         filter_punctuation=True,
                         filter_short_tokens=True)

Example #5

 def __call__(self, text):
     process_text(text, load_nlp_pipeline("en"), return_lemma=True)

Example #6

 def __call__(self, text):
     return process_text(text,
                         load_nlp_pipeline('ro'),
                         filter_stopwords=True)

Example #7

def english_lemmatize_remove_stopwords(text):
    return process_text(text,
                        load_nlp_pipeline(),
                        return_lemma=True,
                        filter_stopwords=True)

Example #8

def english_lemmatize(text):
    return process_text(text, load_nlp_pipeline(), return_lemma=True)

Example #9

def english_tokenize_remove_stopwords(text):
    return process_text(text, load_nlp_pipeline(), filter_stopwords=True)

Example #10

def english_tokenize_filter(text):
    return process_text(text,
                        load_nlp_pipeline(),
                        filter_numbers=True,
                        filter_punctuation=True,
                        filter_short_tokens=True)

Example #11

def english_tokenize(text):
    return process_text(text, load_nlp_pipeline())