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Course Content

Python for Data Science: Natural Language Handling

Python for Data Science: Natural Language Handling

Word CloudWord Cloud

A word cloud (or tag cloud) is a visual representation of the most frequently used words in a text. The size of each word in the cloud corresponds to its frequency of use, with the most frequently used words appearing larger and more prominent than less frequently used words.

Word clouds are often used to quickly and easily identify the most important or relevant words in a text, such as a document, a webpage, or social media posts. They can be used in various applications, such as text mining, content analysis, and social media monitoring.

Task

  1. Import WordCloud;
  2. Select all the words from the fdist list;
  3. Display the plot using plt.show().

Great job on completing your project about text processing with NLTK in Python! It's impressive to see the hard work and dedication that went into this task. NLTK can be quite challenging, but you successfully navigated the complexities and used it to process text data effectively. Congratulations on a job well done, and I hope you feel a sense of pride in your accomplishment. Keep exploring the possibilities of NLTK and natural language processing – there's so much more to discover!

Everything was clear?

Section 1. Chapter 11