how to count word frequency in python

title: a beginner's guide to counting word frequency in python
introduction:
word frequency analysis is a common task in natural language processing and text mining. python provides powerful tools to perform this task efficiently. in this tutorial, we'll explore how to count word frequency in a given text using python.
prerequisites:
step 1: install natural language toolkit (nltk)
nltk is a popular library for processing human language data. install it using the following command in your terminal or command prompt:
step 2: import nltk and tokenize the text
step 3: count word frequency
now, let's extend our script to count the frequency of each word using nltk's freqdist class:
step 4: display the results
to visualize the word frequency distribution, you can print the top n words. update your script with the following:
save the file and run it using the following command:
replace the sample text with your own content to analyze the word frequency in different texts.
conclusion:
congratulations! you have successfully created a python script to count word frequency using the nltk library. this tutorial serves as a foundation for more advanced text analysis tasks in natural language processing. explore additional functionalities offered by nltk to enhance your text processing capabilities.
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