Twitter content classification

Stephen Dann

doi:10.5210/fm.v15i12.2745

Twitter content classification

Stephen Dann^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

83 Citations (Scopus)

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.

Original language	English
Journal	First Monday
Volume	15
Issue number	12
DOIs	https://doi.org/10.5210/fm.v15i12.2745
Publication status	Published - Dec 2010

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Twitter content classification

Abstract

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