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Twitter content classification

Dann, Stephen


This paper delivers a new Twitter content classification framework based 16 existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: First Monday


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