Creating machine learning models to analyze startup news

This is the second part in a series where we analyze thousands of articles from tech news sites in order to get insights and trends about startups. Last time around we scraped all the articles ever published in TechCrunch, VentureBeat and Recode using Scrapy. We then filtered out all the articles that weren't about startups, so we now have only the publications relevant to our analysis. Finally, we'll combine these classifiers to be ready to analyze all of our data. For the first part of this analysis, it'd be great to know for each piece of startup news what "event" it is describing.