[twitter-dev] Re: airline accident case study

2009-06-20 Thread AJ Chen
I'm talking about any trending topics. because it's not trivial to distinguish news topics from conversation topics, I don't make such distinction when making the above comparison . I doubt twitter or google makes such distinction either. Just to clarify: do you imply that the trending topics on tw

[twitter-dev] Re: airline accident case study

2009-06-19 Thread Marco Kaiser
but well, this thread allowed him to tell us how great his website is in finding trending topics... and, of course, link it. 2009/6/20 Andrew Badera > Just because something's a trending news topic, doesn't guarantee, or > necessarily even imply, that it's a trending topic of conversation ... >

[twitter-dev] Re: airline accident case study

2009-06-19 Thread Andrew Badera
Just because something's a trending news topic, doesn't guarantee, or necessarily even imply, that it's a trending topic of conversation ... On Fri, Jun 19, 2009 at 5:04 PM, AJ Chen wrote: > From user perspective, it's useful if a trending app can pick up new hot > topics as they are emerging,

[twitter-dev] Re: airline accident case study

2009-06-19 Thread AJ Chen
>From user perspective, it's useful if a trending app can pick up new hot topics as they are emerging, particularly for the rather distinct events like airline accident. this is one of the main design principles I have for my twitter digest app. now, whether a new topic should be considered as tren

[twitter-dev] Re: airline accident case study

2009-06-19 Thread David Fisher
Topics don't just trend because its something 'important'. Now if it was of significantly larger volume than another topics (like the iphone's launch today), then that is rather interesting, but from what I can tell its mostly the most popular things floating to the top generally, plus some spam-f

[twitter-dev] Re: airline accident case study

2009-06-19 Thread Bjoern
On Jun 19, 7:00 am, AJ wrote: > This case study shows the difference between various trending > applications. A good real time semantic analysis is the key that makes > the difference, I think. Maybe I misunderstood, but isn't the more likely explanation that the topic simply wasn't trending?