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AI & MACHINE LEARNING PROGRAM • LEVEL 20 — NATURAL LANGUAGE PROCESSING

Create a Bag of Words with Python

Learn create a bag of words with python with a short, executable Python example.

IntermediateBag of wordsCounter

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
{'ai': 2, 'learns': 1, 'predicts': 1}

COMPLETE PYTHON PROGRAM

Complete Python implementation

ai-ml-20-bag-of-words.py
Open in compiler
from collections import Counter
text='ai learns ai predicts'
print(dict(Counter(text.split())))

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

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SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

{'ai': 2, 'learns': 1, 'predicts': 1}
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Import the required standard-library tools and prepare the sample data for create a bag of words.
  2. Apply Bag of words and Counter to compute the required result.
  3. Display the result for create a bag of words and compare it with the documented sample output.

This example of create a bag of words computes the result directly from the prepared sample data. It demonstrates Bag of words and Counter and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(n)

DEBUGGING CHECKLIST

Common mistakes

Check this

For create a bag of words, keep the data shape and value types consistent with Bag of words.

Check this

Apply Bag of words in the same order shown by the algorithm; changing the order can change the result.

Check this

Verify the final Bag of words and Counter result against the sample before trying new data.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.