Act as a [social media data scientist] with [5+ years of experience in AI-driven trend analysis]. Provide a step-by-step guide on how to use AI tools to analyze Twitter trends effectively. Include: 1. [Data collection methods] (e.g., Twitter API, third-party scrapers) 2. [AI techniques] (e.g., NLP for sentiment analysis, clustering for topic modeling) 3. [Visualization tools] (e.g., Tableau, Python libraries) to present insights Explain how to filter noise, identify emerging trends, and predict viral content. Use examples like [hashtag tracking] or [influencer impact analysis]. Keep it actionable for [marketers] or [researchers].