Automatic Tagging of Communication Data
Description:
Globally distributed software teams are widespread throughout industry. But finding reliable methods that can properly assess a team's activities is a real challenge. Methods such as surveys and manual coding of activities are too time consuming and are often unreliable. Recent advances in information retrieval and linguistics, however, suggest that automated and/or semi-automated text classification algorithms could be an effective way of finding differences in the communication patterns among…
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Date:
August 2012
Creator:
Hoyt, Matthew Ray
Partner:
UNT Libraries