4 ms·
I worked at a startup in 2015 that did something similar. Using an NLP called Yseop, we wrote sports articles. The team consisted of me on backend, a journalist
by grammarxcore 7y ago
I worked at a startup in 2015 that did something similar. Using an NLP called Yseop, we wrote sports articles. The team consisted of me on backend, a journalist writing the Yseop code, a technical writer building the story trees, and a data scientist building the DBs from a plethora of sports sources. It's fairly straightforward. Provide enough variation and you don't lose readers.
Yseop is not cheap, though, and the company went under after massive financial fraud. The Tribune Network used a fair chunk of our content at the time. I've been waiting for this to be more common-place.
- jawns 7y agoThere used to be an online publisher called Associated Content (bought by Yahoo for $100M in 2010) that used freelancers to write SEO-optimized content. I realized that I could write some code that would scrape various sources of financial data and generate articles about stock tickers. Managed to make some money before the articles got flagged as too similar to each other, but if I had put a little more effort into differentiating them, I probably could have made a pretty penny.
- grammarxcore 7y agoI think financial data was where the company started. The first vertical I interacted with was real estate listings. We moved to basketball and then baseball. Aside from the articles, we sold "list" ads that would pick stats and throw players in a list. As we built click data, we were able to tune those lists to popular things.
- seibelj 7y agoI heard about this several years ago and became attuned to it. I follow a few small cap companies and cryptocurrencies with google news alerts, and most of the articles sound very robotic and just put data in paragraph form. When the headline is “XYZ up 2.3% today, a 43.9% above average increase” I know it’s computer generated.