please check the "about" page on basically, it uses
OpenCalais semantic analysis service as well as OpenNlp tools. I like these
free tools. Another one is the stanford parser, but it's slower.  The key is
to make the whole process of auto-discovery superfast so that the twitter
streaming data can be analyzed in real time as they come in.

On Wed, Aug 5, 2009 at 12:21 PM, Scott Haneda <> wrote:

> Can you tell me more about this auto topic discovery feature?  I am not
> seeing anything of that nature on the twitter Web site at all.
> On Aug 5, 2009, at 2:29 AM, AJ Chen wrote:
>  After playing around with auto-discovery of topics in twitter
>> conversations for a while, it seems to me that following topics is another
>> effective way to communicate on twitter. So, I've added a new set of
>> features on website to make it easy for people to
>> follow and tweet about topics. The auto-discovered topics give you a fairly
>> good starting point to read about current new hot topics. In addition, one
>> can create any topic to follow. By adding of a set of keywords or phrases to
>> the topic, you will find that topic following pulls out more complete list
>> of conversations from twitter with much less work. When you tweet or retweet
>> about a topic, the topic's hashtag is automatically appended to your message
>> so that you don't need to remember what hashtag to use.
>> I notice several websites including homepage have started to
>> provide similar functions recently. Anyone has any early experience or
>> comment to share?
> --
> Scott * If you contact me off list replace talklists@ with scott@ *

AJ Chen, PhD
Co-Chair, Semantic Web SIG,
Palo Alto, CA

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