How to use build_analyzer in sklearn feature extraction
build_analyzer() returns a callable that let's you extract the tokenizing step from the transformation pipeline wrapped in the CountVectorizer or TfidfVectorizer. You can do something like this:

analyze = vectorizer.build_analyzer()
df['Text'].apply(lambda x: analyze(x)) #or df['Text'].apply(analyze)