text_html_output_1.png image_output_1.png
from nltk import download

from nltk.corpus import stopwords

import matplotlib.pyplot as plt

import matplotlib.pyplot as plt

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

import numpy as np
import matplotlib.pyplot as plt
import json
import requests
import io
import gc
import re
import logging
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from tqdm.notebook import tqdm
pd.set_option('display.max_colwidth', -1)
pd.set_option('display.max_rows', 1000)
plt.rcParams['figure.figsize'] = [12, 8]
from nltk import download
download('stopwords')
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
from nltk import word_tokenize
download('punkt')
plt.rcParams['figure.figsize'] = [12, 8]