[Air-L] What kind of data do you content analyze?

[Kevin G Crowston]

My research group is working on a tool to apply natural language processing technology to content analyze large volumes of text. Our initial use case is looking for evidence of various group processes reflected in email messages of online groups (e.g., showing appreciation). However, we want to the tool to be generally useful and so are planning to extend the tool to handle other kinds of texts. We spent some time discussing what a reasonable next target would be (e.g., generic text files, web-based discussion groups, tweets), but I thought I should solicit opinions from other researchers. Hence the question: what kind of data are you content analyzing? 

Kevin Crowston
Syracuse University                            		Phone:  +1 (315) 443-1676
School of Information Studies			Fax:    +1 (815) 550-2155
348 Hinds Hall						Web:    http://crowston.syr.edu/
Syracuse, NY   13244-4100   USA