Twitter sentiment analysis python

wordcloud.py

# stopwords do not appear in the wordcloud.
stopwords = STOPWORDS.copy()
stopwords.update(['http', 'https', 'co', 'starbuck', 'starbucks']) # add some additional stopwords.

# make all the text lowercase and combine everything together.
all_txt = [txt.lower() for txt in df_starbucks['full_text'].to_list()]
all_txt = ' '.join(all_txt)

# create and plot the wordcloud.
wordcloud = WordCloud(stopwords=stopwords, background_color="white", width=800, height=600).generate(all_txt)
plt.figure(figsize=(15,10))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()