Word cloud of tweets
Your task in this exercise is to plot a word cloud using a sample of Twitter data, expressing customers' sentiments about airlines. A string text_tweet has been created for you and it contains the messages of a 1000 customers shared on Twitter.
In the first step, your are asked to build the word cloud without removing the stop words, and in the second step to build the same cloud after you have removed the stop words.
Feel free to familiarize yourself with the text_tweet list.
This exercise is part of the course
Sentiment Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the word cloud function
from ____ import ____
# Create and generate a word cloud image
my_cloud = ____(background_color='white').____(text_tweet)
# Display the generated wordcloud image
plt.imshow(my_cloud, interpolation='bilinear')
plt.axis("off")
# Don't forget to show the final image
plt.show()