Is there really much of interest in press releases, or were they just a handy corpus you had around? I started my PhD off looking at affect in scientific papers, and changed tack because there basically is none.
Anyway, I guess I'm not clearly understanding your definition of "anxiety" because few of those words evoke anxiety as I would define it -- not? bag? away? I'll try to dig into whatever you've published to deeper understand your system, but I'm not convinced by the standalone word approach yet, though I see what you're trying to do (I think). I'd really want to check out the bigrams/trigrams, even if you don't do full parsing or any intermediate sophistication. Obviously there's an efficiency aspect, so I guess if your results are good enough already and you have customers, no need to make sacrifices.
On a tangent, how does your system interpret common HN words like "healthcare", "Obama" and "education", I wonder? Could you have an "intellectual" or "hacker-ish" dimension based on manual categorisation of words into "this is stuff HN should be talking about" vs "this is stuff that belongs on reddit"?
>Is there really much of interest in press releases, or were they just a handy corpus you had around?
Actually, both. Corporate marketing departments spend a lot of effort crafting the proper press releases. Entire agencies exist to help companies with press releases. I think we make a great companion tool for professionals in that area. We have an example of how EffectCheck can help with press releases on our blog [1].
>On a tangent, how does your system interpret common HN words like "healthcare", "Obama" and "education", I wonder? Could you have an "intellectual" or "hacker-ish" dimension based on manual categorisation of words into "this is stuff HN should be talking about" vs "this is stuff that belongs on reddit"?
We certainly can do that, and we offer it as a service to clients that want hand-crafted, demographic-specific dictionaries (like political campaigns).
Anyway, I guess I'm not clearly understanding your definition of "anxiety" because few of those words evoke anxiety as I would define it -- not? bag? away? I'll try to dig into whatever you've published to deeper understand your system, but I'm not convinced by the standalone word approach yet, though I see what you're trying to do (I think). I'd really want to check out the bigrams/trigrams, even if you don't do full parsing or any intermediate sophistication. Obviously there's an efficiency aspect, so I guess if your results are good enough already and you have customers, no need to make sacrifices.
On a tangent, how does your system interpret common HN words like "healthcare", "Obama" and "education", I wonder? Could you have an "intellectual" or "hacker-ish" dimension based on manual categorisation of words into "this is stuff HN should be talking about" vs "this is stuff that belongs on reddit"?