text_plain_output_1.png
from sklearn.feature_extraction.text import TfidfVectorizer

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

train = pd.read_csv('../input/feedback-prize-english-language-learning/train.csv')
test = pd.read_csv('../input/feedback-prize-english-language-learning/test.csv')
ss = pd.read_csv('../input/feedback-prize-english-language-learning/sample_submission.csv')

from sklearn.feature_extraction.text import TfidfVectorizer
vectorizer = TfidfVectorizer(smooth_idf=True, sublinear_tf=True)
vectorizer.fit(raw_documents=train.full_text)