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Data Visualization | Natural Language Handling
Natural Language Handling
course content

Course Content

Natural Language Handling

Data Visualization

Now that we've covered the key features of the nltk package, let's move on to visualizing our data. We'll begin by calculating word frequencies and then displaying these frequencies using a bar plot.

Task

  1. Calculate the frequency distribution of the tokenized words from your text.
  2. Find the top 30 most common words in this distribution.

Task

  1. Calculate the frequency distribution of the tokenized words from your text.
  2. Find the top 30 most common words in this distribution.

Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Now that we've covered the key features of the nltk package, let's move on to visualizing our data. We'll begin by calculating word frequencies and then displaying these frequencies using a bar plot.

Task

  1. Calculate the frequency distribution of the tokenized words from your text.
  2. Find the top 30 most common words in this distribution.

Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 10
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