Ahmed al Maghribi Merj perfume

 # Import libraries (replace with your preferred libraries)

from nltk import classify

from collections import namedtuple

# Define entities class

Entity = namedtuple("Entity", ["product", "brand", "website", "collection", "target_audience"])

# Sample advertisement text

text = """

Ahmed al Maghribi Merj perfume, the number one trending and best-selling fragrance 

for men in the Ahmed al Maghribi collection. This long-lasting and genuine perfume 

is our best project yet, and satisfied customers agree it's the best Arabic perfume 

by Ahmed al Maghribi. Visit our website to experience the best fragrance notes!

"""

# Function to classify intent (replace with your intent classifier)

def intent_classifier(text):

  # Replace with your implementation to classify intent (e.g., promote perfume)

  return "promote_perfume"

# Function to recognize entities (replace with your entity recognizer)

def entity_recognizer(text):

  entities = Entity(

      product="Ahmed al Maghribi Merj perfume (100ML)",

      brand="Fragrance Secrets Perfumes",

      website="https://thefragrancesecrets.com/products/ahmed-al-maghribi-marj-perfume",

      collection="Ahmed al Maghribi",

      target_audience="Men"

  )

  return entities

# Function to analyze sentiment (replace with your sentiment analyzer)

def sentiment_analyzer(text):

  # Replace with your implementation to analyze sentiment (e.g., positive)

  return "positive"

# Function to extract keywords (replace with your keyword extractor)

def keyword_extractor(text):

  keywords = [

      "perfume", "fragrance", "Ahmed al Maghribi", "Merj", "100ML", "UAE", "genuine",

      "online store", "trending", "satisfied customer", "long-lasting", "project", "fragrance notes"

  ]

  return keywords

# Analyze the advertisement

entities = entity_recognizer(text)

sentiment = sentiment_analyzer(text)

keywords = keyword_extractor(text)

intent = intent_classifier(text)

# Print the analysis results

print(f"Intent: {intent}")

print(f"Entities: {entities}")

print(f"Sentiment: {sentiment}")

print(f"Keywords: {keywords}")

# Rewrite the advertisement (optional)

# ... Implement your function to rewrite the advertisement based on the analysis

# This code provides a basic structure. Replace the placeholder functions with 

# your preferred NLP libraries and implementations.