Created
May 24, 2020 06:03
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| def lemmatize_pipe(doc): | |
| lemma_list = [str(tok.lemma_).lower() for tok in doc | |
| if tok.is_alpha and tok.text.lower() not in stopwords] | |
| return lemma_list | |
| def preprocess_pipe(texts): | |
| preproc_pipe = [] | |
| for doc in nlp.pipe(texts, batch_size=20): | |
| preproc_pipe.append(lemmatize_pipe(doc)) | |
| return preproc_pipe |
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