Create a word frequency analyzer

Here is a simple Word Frequency Analyzer written in Python. It reads a block of text, cleans it, splits it into words, and then counts the frequency of each word.

python
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import re
from collections import Counter

def word_frequency_analyzer(text):
    # Clean text: remove punctuation and convert to lowercase
    cleaned_text = re.sub(r'[^ws]', '', text.lower())
    
    # Split text into words
    words = cleaned_text.split()
    
    # Count word frequencies
    word_counts = Counter(words)
    
    # Display results
    for word, count in word_counts.most_common():
        print(f"{word}: {count}")

# Example usage
if __name__ == "__main__":
    sample_text = """
    This is a simple word frequency analyzer. This analyzer will count how many times each word appears in a given text.
    Word frequency analysis is a common task in natural language processing.
    """
    word_frequency_analyzer(sample_text)

How It Works:

• re.sub(r'[^ws]', '', text.lower()): Removes punctuation and converts text to lowercase.

• split(): Splits the cleaned text into words.

• Counter(words): Tallies how often each word appears.

• most_common(): Lists words in descending order of frequency.

You can adapt this for reading text from files or analyzing large documents. Let me know if you want a version with a GUI or web interface.