In3x,net,watch,12vsn774,early,in,morning,fucking,my,maid,daughter,in,kitchen,when,she,preparing,chic Link

def filter_content(keywords, filter_db): # Check if any keywords match the filter database filtered_keywords = [keyword for keyword in keywords if keyword in filter_db] return filtered_keywords

def display_warning(filtered_keywords): if filtered_keywords: print("Warning: This video contains mature content.") else: print("No warnings.") text.lower()) return keywords

Develop a feature that allows users to filter or receive warnings about video content based on a set of predefined keywords or tags. machine learning algorithms

# Example usage: text = "in3x,net,watch,12vsn774,early,in,morning,fucking,my,maid,daughter,in,kitchen,when,she,preparing,chic" keywords = extract_keywords(text) filter_db = ["fucking", "maid", "chic"] # Predefined filter database filtered_keywords = filter_content(keywords, filter_db) display_warning(filtered_keywords) Note that this is a simplified example and may not cover all edge cases. You can enhance the feature by using more advanced NLP techniques, machine learning algorithms, or integrating with existing content filtering solutions. text.lower()) return keywords

import re

def extract_keywords(text): # Simple keyword extraction using regular expressions keywords = re.findall(r'\b\w+\b', text.lower()) return keywords