ahmed-al-maghribi-marj-perfume

const natural = require('natural'); https://thefragrancesecrets.com/products/ahmed-al-maghribi-marj-perfume // Replace with your actual implementations for these functions function intentClassifier(text) { // Implement logic to classify intent (e.g., using machine learning) return "promote Ahmed al Maghribi Merj perfume"; } function entityRecognizer(text) { const entities = natural.ShallowPipeline([ natural.tokenize, natural.SentenceSegmenter, natural.Tagger.getNLTKPOS("arabic"), // Adjust for Arabic language processing new natural.NounPhraseExtractor(), ])(text); const product = entities.reduce((acc, entity) => { if (entity.tags.includes("NNP") && entity.text.includes("perfume")) { return entity.text; } return acc; }, ""); const brand = entities.reduce((acc, entity) => { if (entity.tags.includes("NNP") && !entity.text.includes("perfume")) { return entity.text; } return acc; }, ""); // Extract other entities like website, collection, target audience const website = ""; // Implement logic to find website entity const collection = ""; // Implement logic to find collection entity const targetAudience = "Men"; // Based on the provided information return { product, brand, website, collection, targetAudience }; } function sentimentAnalyzer(text) { const analyzer = natural.SentimentAnalyzer.getSentiment("arabic"); // Adjust for Arabic language processing const scores = analyzer.getScores(text); return scores.positive > scores.negative ? "positive" : "neutral"; } function keywordExtractor(text) { const keywords = new Set([ "perfume", "fragrance", "Ahmed al Maghribi", "Merj", "100ML", "UAE", "genuine", "trending", "long-lasting", ]); const tokens = natural.tokenize(text); for (const token of tokens) { keywords.add(token.toLowerCase()); } return Array.from(keywords); } https://thefragrancesecrets.com/products/ahmed-al-maghribi-marj-perfume // Example usage const text = "Introducing the best Ahmed al Maghribi Merj perfume, the number one choice for men..."; const intent = intentClassifier(text); const entities = entityRecognizer(text); const sentiment = sentimentAnalyzer(text); const keywords = keywordExtractor(text); console.log("Intent:", intent); console.log("Entities:", entities); console.log("Sentiment:", sentiment); console.log("Keywords:", keywords);