It worked from the UK IP for me, but not from the US one. Anyway - returned 502 after request.
Analyze Your HN Posts with Watson User Modeling
41–50 of 56 posts
Re: Analyze Your HN Posts with Watson User Modeling
#42Re: Analyze Your HN Posts with Watson User Modeling
#43Re: Analyze Your HN Posts with Watson User Modeling
#44Re: Analyze Your HN Posts with Watson User Modeling
#45Is there any insight as to how this works? I got an Openness rating of 97% and a Harmony rating of 100%, both of which I know are not true. (I also received a Love rating of 1% under my Needs, although that's pretty accurate.)
When the results are right, they're just "right" so you should accept them, when they're wrong they're actually also right by whatever magical hamster wheel is operating inside of the thing and you just don't "get it".
The problem is that humans like to have some clue as to how the results were derived, something easy to explain that gets the gist across. Something like "Watson counted all the words you use and compared them to different reference lexicons to arrive at the score". This provides a little bit of context so we understand the semantics of the result and how to consider them and reason with them.
But for all we know the results we're seeing are from some arbitrary stochastic method:
openness=rand(90,99) harmony=rand(90,100)
etc.
For things like this to be accepted by the users (humans) there needs to be a quick explanation for how this works otherwise we get head scratchers.
Re: Analyze Your HN Posts with Watson User Modeling
#46Is there any insight as to how this works? I got an Openness rating of 97% and a Harmony rating of 100%, both of which I know are not true. (I also received a Love rating of 1% under my Needs, although that's pretty accurate.)
Meanwhile, you can do a search on "IBM System U" (the project's not-so-internal code name.) This particular slideshare.net prez has some great info on the methodology, validation tests and references: http://slidesha.re/1ri0vPV
Re: Analyze Your HN Posts with Watson User Modeling
#47Not a lot of documentation on the IBM page about what the characteristics mean or how they learn a mapping from text to these categories. Curious to know what the average hacker news scores look like? I'm imagining it is a pretty small segment of "normal" society.
For more information on systematic associations between personality and individual differences in word use, please refer to studies like Tal Yarkoni, "Personality in 100,000 words: A Large scale analysis of personality and word use among bloggers", 2010
Re: Analyze Your HN Posts with Watson User Modeling
#48If you picked random English words and put random numbers next to them, I wouldn't be able to tell.
Re: Analyze Your HN Posts with Watson User Modeling
#49Did this with Twitter: twurl "/1.1/statuses/user_timeline.json?count=200" | jq -r ".[] | .text" | pbcopy paste it into http://watson-um-demo.mybluemix.net/demo 87% Openness, 5% Agreeableness, that's funny.
function redcom(){ ! [ -z "$2" ] && i="&after=$2" || i=""; data=$(curl -s "https://www.reddit.com/user/${1}/comments.json?count=100${i}"); j=$(jq -e -r '.data["after"]' >${1}-redcom.txt; echo $(echo -e $data|wc -l) lines; ( [ "$j" = "null" ] || [ -z "$j" ] ) || redcom $1 $j ;} ;
It's a bit more complicated due to the reddit api, but if you run that, then run redcom and it should throw all your comments into -redcom.txtNever user/heard of jq before, it's a pretty nice tool.
Re: Analyze Your HN Posts with Watson User Modeling
#50 502 Bad Gateway: Registered endpoint
failed to handle the
request.
So, still not working for me.Edit: In fact, entering someone else's username worked, and another, but mine continues to fail. Is it just me?