def count_word(content_business):
count_word = WordCloud().process_text(content_business)
word, frequently = count_word.keys(), count_word.values()
count_word = pd.DataFrame([word, frequently]).T
count_word.columns = ['word', 'frequently']
count_word = count_word.sort_values(by='frequently', ascending=False)
return count_word
def read_data():
data = pd.read_csv('../data_csv/misubishi.csv')
data_table = data.dropna()
print(data_table['Content'].head())
content_business = ','.join(data_table['Content'])
count_word = WordCloud().process_text(content_business)
word, frequently = count_word.keys(), count_word.values()
count_word = pd.DataFrame([word, frequently]).T
count_word.columns = ['word', 'frequently']
count_word = count_word.sort_values(by='frequently', ascending=False)
print(count_word)
