0xfd

4 ms·

1. 1.▲
   by 0xfd 14y ago

   Such a genuine entrepreneurial story!
2. 2.▲
   by 0xfd 14y ago

   thanks and would love to listen to your opinion.
3. 3.▲
   Show HN: NBA All-star Battle on Twitter in realtime at TwiThinks(twithinks.mit.edu)

   4 points by 0xfd 14y ago|2 comments
4. 4.▲
   by 0xfd 14y ago

   map updated. normalized by tweet flow. Thanks again.
5. 5.▲
   by 0xfd 14y ago

   We will get the necessary data (tweet flow) to normalize the counts. Thanks for your comment.
6. 6.▲
   by 0xfd 14y ago

   Totally, it looks as if the nation is breathing (i kinda like that for aesthetic reasons). If we bin the counts by day, a lot of the temporal resolution will be lost. What do you suggest?
7. 7.▲
   by 0xfd 14y ago

   We mainly want to filter this keyword to see how the discussion of "gun" is affected by the events following Sandy Hook tragedy. The opinions classification is not done over the same dataset.
8. 8.▲
   by 0xfd 14y ago

   You made a good point. But it makes more sense to divide by the number of tweets (within the given time interval) from the state instead of the user count which would not normalize it.
9. 9.▲
   Show HN: How Twitter users responded to gun control debate(twithinks.mit.edu)

   6 points by 0xfd 14y ago|9 comments