It was clear that you were only saying that it wasn't ML. I looked up a bit on elasticsearch's text classification, and it's interesting. There's a overview of

It was clear that you were only saying that it wasn't ML. I looked up a bit on elasticsearch's text classification, and it's interesting. There's a overview of "traditional" ML (similar to the song review classification I mentioned) and how elastic search differs. https://www.elastic.co/blog/text-classification-made-easy-with-elasticsearch https://www.elastic.co/blog/text-classification-made-easy-wi... "The MLT query is a very important query for text mining. How does it work? It can process arbitrary text, extract the top n keywords relative to the actual "model" and run a boolean match query with those keywords. This query is often used to gather similar documents." Yeah, looks like aggregation and scoring. It'd be interesting to see if/where this outperformed various ML algorithms (accuracy as well as performance).