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  3. Sentiment Analysis in Python

Exercise

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.

Instructions 1/2

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  • 1
    • Import the word cloud function and package.
    • Create and generate the word cloud, using the text_tweet vector.
  • 2
    • Define the default list of stop words and update it.
    • Specify the stop words argument in the WordCloud function.