WANTED: ML Practitioners w/ Experience Using Social Media Posts, Search Keywords, Click Steam Data • /r/MachineLearning

I'm looking for expertise in ML (mkting/adv applications a plus) to build and test a hypothesis around the use of text classification to a taxonomy. My employer eContext, has curated a general taxonomy that encompasses everything commercially and socially relevant on the web. It consists of 650M real user search queries bucketed into 25 vertical categories (Auto, Health, Finance, etc.) containing roughly 450K sub-categories. It's a rule-based system, and we use NLP and nGram chunking to parse long and short form text and map search queries, social posts, web content, blogs, forums, etc. to the category hierarchy providing structured, topical intelligence to data streams at scale. I understand that supervised training models require a corpus of text from which a model can determine entities, ontological connections, and apply statistical models to understand what people, places, things, concepts are and how they may be connected. That said, we've already built out the taxonomy to understand those connections and can provide greater context to "what" something truly is.