Filter offensive language from text

To filter offensive language from text, here are some common approaches:

1. Profanity Lists: Use curated lists of offensive words and phrases, then scan and remove or replace them in the text.

2. Contextual Filtering: Use AI or machine learning models that understand context, so they can detect offensive language even if it’s disguised or used subtly.

3. Regex Patterns: Detect variations of offensive words using regular expressions to catch creative spellings or intentional misspellings.

4. Replacement or Masking: Replace offensive words with symbols like “****” or neutral alternatives.

5. Human Review: For critical or sensitive content, combine automated filtering with manual moderation.

If you want, I can help you write a simple filter script or algorithm example to remove or mask offensive language from text. Would you like that?