Count Word Frequency in a String with explanation

Question

ICSM · Answer

Problem:
You are given a string, and you want to know how many times each word appears in it.
Example:
"This is a test. This test is simple."
Expected output (word frequency):
this → 2  
is → 2  
a → 1  
test → 2  
simple → 1
Step-by-Step Solution
1. Take the input string
text = "This is a test. This test is simple."
2. Normalize the string
Convert everything to lowercase → to avoid treating "This" and 
"this" as different words.Remove punctuation (., ,, etc.).
import re
# Lowercase and remove non-alphabetic characters
cleaned_text = re.sub(r'[^a-zA-Z\s]', '', text.lower())
Now:
cleaned_text = "this is a test this test is simple"
3. Split the string into words
words = cleaned_text.split()
Now:
words = ['this', 'is', 'a', 'test', 'this', 'test', 'is', 'simple']
4. Count word frequency
We can use:
Dictionary (manual counting)collections.Counter (built-in shortcut)
Method 1: Using Dictionary
word_freq = {}
for word in words:
    word_freq[word] = word_freq.get(word, 0) + 1
Method 2: Using Counter
from collections import Counter
word_freq = Counter(words)
5. Display the result
for word, freq in word_freq.items():
    print(f"{word} → {freq}")
and 
Full Working Code
import re
from collections import Counter
text = "This is a test. This test is simple."
# Step 1: Clean and normalize
cleaned_text = re.sub(r'[^a-zA-Z\s]', '', text.lower())
# Step 2: Split into words
words = cleaned_text.split()
# Step 3: Count frequency
word_freq = Counter(words)
# Step 4: Print results
for word, freq in word_freq.items():
    print(f"{word} → {freq}")
Output
this → 2
is → 2
a → 1
test → 2
simple → 1
Explanation Summary:
Normalize the string (lowercase + remove punctuation).Split the string into words.Count how many times each word occurs.Print or return the result.

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Count Word Frequency in a String with explanation

ICSM

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1 Answers

Problem:

Step-by-Step Solution

1. Take the input string

2. Normalize the string

3. Split the string into words

4. Count word frequency

5. Display the result

Full Working Code

Output

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