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DS-1000 / 892 / Is there any way for me to preserve punctuation marks of !, ?, " and ' from my…

Problem

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Problem:

Is there any way for me to preserve punctuation marks of !, ?, " and ' from my text documents using text CountVectorizer parameters in scikit-learn?
Assume that I have 'text' of str type now, how can I reach this target?


A:

<code>
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
text = load_data()
</code>
transformed_text = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
892
task_id
9c4451b0-032b-56ce-8022-b725e9d99c28
task_key
default--test--892
task_revision_id
1
config / split
default / test

Official source

initial import