Data Cleaning Techniques with Examples and Outputs 🧹
1. Stop Words Removal 🗑️
Purpose:Removes common words like "the," "is," and "and" to reduce noise and focus on meaningful content.
Code Example:
import nltk
from nltk.corpus import stopwords
nltk.download('stopwords')
def remove_stopwords(text):
...
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