twitter digest not available

[AJ]

Hi, thanks to twitter's api and the api team, the data feed for data
mining is just wonderful. I have put together a real time system that
takes in the feed and does some NLP analysis on tweets using open
tools like Open Calais and openNLP. The results are freely available
on http://web2express.org/. Using this twiiter web app, you can
spot daily hot topics and for each hot topic, quickly find the top
contributing twitter users. I hope this real time information will
help users to understand the popular topics at any given moment and
easily identify who to follow.

Please let me know if you have any comment.

-aj
AJ Chen, PhD
Co-Chair, Semantic Web SIG, sdforum.org
http://web2express.org
Palo Alto, CA

[Patrick Burrows]

That's awesome, AJ.

Though it hurts me in the opinion-of-humanity part of my brain to learn how
heavily represented American Idol is on that list.

--
Patrick Burrows
http://Categorical.ly (the Best Twitter Client Possible)
@Categorically

[AJ Chen]

Yes, the daily hot topics may surprise many people. I could not believe what I saw when the system went online for the first time a few months ago. If you are used to reading tech news or WSJ, you may get a shock. The daily conversations on twitter, and probably other social networking sites, are mostly about TV shows, movies, games, and other entertainment stuff. But, on the other hand, this also makes sense. People are talking about their lives on social networking sites, and life is not all about technology and stock market, at least for most ordinary people.

Web2express Digest does not cut or selection of topics. It just shows whatever comes out of the ongoing conversations from millions of people. I think we can learn a lot from this information in addition to becoming more effective in navigating through the twitter sphere.

-aj
--

AJ Chen, PhD
Co-Chair, Semantic Web SIG, sdforum.org
http://web2express.org
Palo Alto, CA

[Patrick Burrows]

It would be interesting to try and automatically categorize the information as well. I had intended to add Bayesian categorization functionality to Categorical.ly, eventually. But that would be more categorization of an individual user’s tweets based on categories they set up.

 

It would be interesting to do something similar for the digest you’ve created. I’m not sure how you would train it, initially.

 

--

Patrick Burrows

http://Categorical.ly (the Best Twitter Client Possible)

@Categorically