Twitter content classification

Dann, Stephen

Cultural advice

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Twitter content classification

Date

2010

Authors

Dann, Stephen

Publisher

University of Illinois

Abstract

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.

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http://hdl.handle.net/1885/36006

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ANU Research Publications

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First Monday

Type

Journal article

Restricted until

2037-12-31

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Cultural advice

Twitter content classification

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