Could you elaborate on Textio/Unitive and their methods?

I recognize they are proprietary products but I am wondering if you can offer any further insight (beyond what you describe in the text) into how they work, and what their strengths/weaknesses might be.

Two more related questions I am also thinking about:

Why specifically did you chose those two services as the benchmark for your algorithms?

What do you think the existence/success of services such as these say about the commercial potential of computational gender studies? Computational recruiting?

jfan3 commented 7 years ago

My understanding is that those two are the best and the most state-of-the-art algos on the market and thus are the most reasonable tools for valuation. I don't know how their success will predict the future of feminism, but I think this is living proof that social scientists should be able take a share of the tech market if there is enough volition.

jfan3 commented 7 years ago

But I am curious about if those two companies had complaints for having a public equivalent of their proprietary algorithms?

tamos commented 7 years ago

Interesting point re: complaints. Maybe? But I wonder if their commercial value is in abstracting away the complexity in this issue for their clients.

I guess what I'm curious about is what exactly qualifies them as "state of the art".

uchicago-computation-workshop / ben_zhao

Textio/Unitive - Details? #1

Could you elaborate on Textio/Unitive and their methods?

Why specifically did you chose those two services as the benchmark for your algorithms?

What do you think the existence/success of services such as these say about the commercial potential of computational gender studies? Computational recruiting?