[Bragi]

Hi all,
I need your help! I've made a small website for labelling tweets as positive or negative in order to build up a dataset that can be used for training some algorithms: tagatweet.bragisoft.com/. All the results are publicly available from the website.
I need at least a couple of thousand tagged statements for the algorithms to work properly, so there's still a bit of tagging to do.

[Freddy]

Can you clarify on the positive/negative ?

For example this :

@mingkki21_IS SPOILED.

Is that negative in relation to the person or positive in that it may be correct ?

[Bragi]

I'd say in general, when you don't know, like in this case, just say 'don't know'.
The idea is to make an algorithm that can pick up the 'mood' on twitter. So any statement that represents happiness in some sort of way, like 'we won' or 'it's sunny today', .... = positive. Insults or negative feelings or anything bad = negative.
You can take a peek at the 'results' page to see some already labelled statements.

Perhaps being or calling someone spoiled is sort of a negative thing though,

[Freddy]

Thanks.

People say the strangest things, but I thought this was apt :

1, id rather not do homework so i think im just gonna talk to siri #lol

 

[Bragi]

Yep, sometimes people say the funniest things.

[Art]

Like your new avatar!! Reminds me of the old country song, "My give a damn's busted" - Sung by Jo Dee Messina 

http://en.wikipedia.org/wiki/My_Give_a_Damn%27s_Busted

[Freddy]

Hehe thanks Art...I pinched it from another site I go to.   

[Freddy]

Bragi, I added this to the Chatterbot Collection and made a little logo which you are welcome to use.

http://www.chatterbotcollection.com/item_display.php?id=3135

[Data]

Just popped in to say "nice work on the logo Freddy"   

[Bragi]

Bragi, I added this to the Chatterbot Collection and made a little logo which you are welcome to use.

http://www.chatterbotcollection.com/item_display.php?id=3135

Bugger, somehow completely missed this. Sorry Freddy, and thanks for drawing.