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Fixed - to display the output

It can able to extract the words and make count of it
pull/30/head
THIYAGARAJAN GitHub 1 year ago
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1 changed files with 39 additions and 0 deletions
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      text_preprocessing.py

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text_preprocessing.py View File

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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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