32 ms·
Using the quotes from the article, however too few words to analyze properly, so inconclusive, but still... From http://www.hackerfactor.com/GenderGuesser.php
by nrkn 16y ago
Using the quotes from the article, however too few words to analyze properly, so inconclusive, but still...
From http://www.hackerfactor.com/GenderGuesser.php http://www.hackerfactor.com/GenderGuesser.php
Genre: Informal
Female = 171
Male = 182
Difference = 11; 51.55%
Verdict: Weak MALE
Weak emphasis could indicate European.
From http://bookblog.net/gender/analysis.php http://bookblog.net/gender/analysis.php
Female Score: 94
Male Score: 133
The Gender Genie thinks the author of this passage is: male!
- citricsquid 16y agoEverything I write comes out as female and I'm... not. I wouldn't trust that (or maybe I should question my gender...)
- sane_delirium 16y agoIt was pretty accurate for me, and I've used several examples.
- jamesgeck0 16y agoPerhaps you should use... fewer ellipses? There are several grammatical patterns females use more than males (and vice versa). I assume that's how the test works, anyway.
- danielharan 16y agoS/He's been hanging out with mostly male geeks, and would probably pick up their "accent". Also, raised by a single dad who's a programmer. (Using a gender guesser is genius though)
- bluehat 16y agoI'm female last time I checked, and a paste from my blog makes gender guesser thinks I'm weak male and gender genie says I'm male. Doesn't mean anything, but worth noting. Grepped this, which ars technica claims is a real chat log. She says just under 200 words on this log, and it comes up as weak male again on Gender Guesser and male on Gender Genie. Her username of `k is removed for the analysis. http://pastebin.com/x69Akp5L http://pastebin.com/x69Akp5L Here's the article where Ars Technica links to that pastebin http://arstechnica.com/tech-policy/news/2011/02/how-one-security-firm-tracked-anonymousand-paid-a-heavy-price.ars http://arstechnica.com/tech-policy/news/2011/02/how-one-secu...
- nrkn 16y agoI ran a bunch of short stories through it too and it gave me plenty of weak male for female authors.
- jacquesgt 16y agoI ran the first answer from this interview with Barbara Liskov (famous MIT computer science professor) through the gender guesser: http://news.cnet.com/8301-1001_3-10217055-92.html http://news.cnet.com/8301-1001_3-10217055-92.html Genre: Formal Female = 509 Male = 971 Difference = 462; 65.6% Verdict: MALE Computing represents a pretty specialized topic, and most of the sample data with computing-related discussion will be from men. It would be pretty tough for any simple Bayesian analysis to account for this.