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A question to the NLP experts out there -- is it possible to automatically detect various pre-defined attributes about a person by automatically analyzing relevant texts? For example, finding out whether a person is anti-capitalist by scanning his blog posts related to economics. I'm not even sure how to approach such a problem.

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What you're describing is just a classifier, and you can certainly train something to do this. However, I'm quite skeptical it would work well.

I suppose if you were Google and had all their data, perhaps. Putting different data types together (like text, pictures, locations) adds a lot of difficulty.

Author here. If you have the means to label some data, this becomes quite an easy classification problem. Get multiple examples of posts, and labels (capitalist, libertarian, ...) for a group of users that represents your total population well, and train a classifier.

thank you!

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