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Merge pull request #30 from THIYAGU22/patch-3

text_preprocessing.py
master
Jeffery Russell před 4 roky
odevzdal GitHub
rodič
revize
bb2fb4975d
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2 změnil soubory, kde provedl 80 přidání a 0 odebrání
  1. +41
    -0
      ML Cookbook/text_preprocessing
  2. +39
    -0
      text_preprocessing.py

+ 41
- 0
ML Cookbook/text_preprocessing Zobrazit soubor

@ -0,0 +1,41 @@
import shutil
from shutil import copyfile
copyfile(src = "../input/cleantext/cleantext.py", dst = "../working/cleantext.py")
# import all our functions
from cleantext import *
#!pylint cleantext
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
training = [
" I am master of all",
"I am a absolute learner"
]
generalization = [
"I am absolute learner learner"
]
vectorization = CountVectorizer(
stop_words = "english",
preprocessor = process.master_clean_text)
vectorization.fit(training)
build_vocab = {
value:key
for key , value in vectorization.vocabulary_.items()
}
vocab = [build_vocab[i] for i in range(len(build_vocab))]
pd.DataFrame(
data = vectorization.transform(generalization).toarray(),
index=["generalization"],
columns=vocab
)

+ 39
- 0
text_preprocessing.py Zobrazit soubor

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import clean_text
# import all our functions
from clean_text import *
#!pylint cleantext
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
training = [
" I am master of all",
"I am a absolute learner"
]
generalization = [
"I am absolute learner learner"
]
vectorization = CountVectorizer(
stop_words = "english",
preprocessor = process.master_clean_text)
vectorization.fit(training)
build_vocab = {
value:key
for key , value in vectorization.vocabulary_.items()
}
vocab = [build_vocab[i] for i in range(len(build_vocab))]
extracted = pd.DataFrame(
data = vectorization.transform(generalization).toarray(),
index=["generalization"],
columns=vocab
)
print(extracted)

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