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

Calculate Term Frequency with Python

Learn calculate term frequency with python with a short, executable Python example.

IntermediateTerm frequencyTF-IDF

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
0.5

COMPLETE PYTHON PROGRAM

Complete Python implementation

ai-ml-20-term-frequency.py
Open in compiler
words='ai learns ai predicts'.split()
term='ai'
print(words.count(term)/len(words))

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

0.5
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to calculate term frequency.
  2. Apply Term frequency and TF-IDF to compute the required result.
  3. Display the result for calculate term frequency and compare it with the documented sample output.

This example of calculate term frequency computes the result directly from the prepared sample data. It demonstrates Term frequency and TF-IDF 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(1)

DEBUGGING CHECKLIST

Common mistakes

Check this

For calculate term frequency, keep the data shape and value types consistent with Term frequency.

Check this

Apply Term frequency in the same order shown by the algorithm; changing the order can change the result.

Check this

Check denominators, numeric ranges and rounding before comparing the calculated value.

Try it yourself

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