The project I've been doing is encoding the chat files that has been generated through World of Warcraft.
First, this is how it would look like at the initial stage.
So far I've got 3 days of chatfiles worked into categories.
Once you access one of the files it shows all the interactions happened and saved on the chat file.
Then it's the part where i use Nods to encode the categories that I've came up with. The categories are two big sections:
1. Learning factors
2. language aspects.
Both of sub categories such as
1.1 finding facts
1.2 Game ethos...
2.1 salutations
2.2 negotiations...
I've encoded the chat files with these categories, and when i choose the nodes, it'll show all the coded ones.
This is how it looks like when i pull up negotiations. When I pull it out, it'll show all the negotiation categories in the chat file.
This is another example of pulling up categories, showing fact finding.
The data is a year long, looking at a 21 year old Korean interacting within the community called World of Warcraft. I've divided up the categories as said above and want to analyze all the chat flies into those categories, and later I can bring up each categories and show the chronological development of the subject...
cool?? no???
So far I've got 3 days of chatfiles worked into categories.
1. Learning factors
2. language aspects.
Both of sub categories such as
1.1 finding facts
1.2 Game ethos...
2.1 salutations
2.2 negotiations...
I've encoded the chat files with these categories, and when i choose the nodes, it'll show all the coded ones.
This is another example of pulling up categories, showing fact finding.
The data is a year long, looking at a 21 year old Korean interacting within the community called World of Warcraft. I've divided up the categories as said above and want to analyze all the chat flies into those categories, and later I can bring up each categories and show the chronological development of the subject...
cool?? no???
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