Improving time series analysis

 # Building a Smart Keyword Seasonality Analyzer: From Expert Intuition to AI-Powered Insights *How we built a system that combines embedding-based relevance detection with statistical seasonality analysis to understand search patterns at scale* --- ## The Challenge: Beyond Human Intuition When analyzing keyword seasonality for the South Korean market, we faced a classic data science dilemma: **expert knowledge vs. algorithmic scalability**.  Our marketing experts could look at search data for "winter jacket" and instantly recognize the seasonal pattern. They could spot that "thermal coat" was relevant to our winter apparel product line. But with thousands of keywords to analyze, this human-centered approach hit three major roadblocks: 1. **Scale**: Experts can't tag 10,000+ keywords manually 2. **Bias**: Human intuition favors high-volume, obvious patterns 3. **Inconsistency**: Different experts tag the same keyword differently We needed a solution that **prese...