text_plain_output_1.png
from subprocess import check_output

import pandas as pd

import tempfile

import os
import pandas as pd
from gensim import corpora, models, similarities
from subprocess import check_output
import gensim
import logging
import tempfile
TEMP_FOLDER = tempfile.gettempdir()
from gensim import corpora
from nltk.corpus import stopwords
from string import punctuation
df = pd.DataFrame()
df = pd.read_csv('../input/winemag-data-130k-v2.csv')
df.shape

corpus = []
a = []
for i in range(len(df['description'])):
    a = df['description'][i]
    corpus.append(a)
corpus[0:2]