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How to store the resulting Doc objects into a list named A - xinyulon - Mar-08-2022
Hey folks. I am a real new beginner for python and NLP.
I am stuck with this question: Store the resulting Doc objects into a list name A"
Is it possible to store it by using "A=list(doc)". How could it still remain doc objects under list? Thank you so much!
This is my exercise:
1. Load text files from a directory and read their contentsΒΆ
The directory data contains a subdirectory named sotu with five State of the Union speeches from various presidents of the United States, which are stored as UTF-8 encoded plain text files.
Import the pathlib module and use the module to read the contents of each text file into string objects.
Then import the spacy library and load a small language model for English. Assign the model under the variable nlp.
Process the texts using the language model and store the resulting Doc objects into a list named speeches.
And my answer:
from pathlib import Path
corpus_dir = Path ("data/sotu")
files = list(corpus_dir.glob(pattern='*.txt'))
for file in files:
text = file.read_text(encoding='utf-8')
import spacy
nlp=spacy.load('en_core_web_sm')
doc=nlp(text)
speeches=list(doc)
RE: How to store the resulting Doc objects into a list named A - bowlofred - Mar-08-2022
Generally you should put imports at the start of your program. There's no reason to put the import inside a loop where it is run multiple times.
To create a list of things, generally you can append() each of the things to your list. So something like.
speeches = [] # list is created outside the loop
for file in files:
# create the doc
speeches.append(doc) # items added to the list inside the loop.