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Text Preprocessing with Python

Solution Explanations: Irrelevant Text Data

Explore techniques to clean irrelevant text data including removing special characters, filtering stopwords, and stripping HTML tags. This lesson helps you implement and understand key preprocessing steps to improve text quality for natural language processing tasks.

We'll cover the following...

Solution 1: Special characters, numbers, and punctuation

Here’s the solution:

Python 3.8
import re
text = "Hello, World! This is a sample text with special characters & punctuation marks."
def remove_special_chars(text): 
    text = re.sub(r'[^a-zA-Z\s]', '', text) 
    return text 
print(remove_special_chars(text))

Let’s go through the solution explanation:

  • Lines 4–6: We define the remove_special_chars() function to remove special ...