Citation
Heidarian, Arash (2011) Identifying Clusters Of Users In Twitter Dataset. Masters thesis, University of Multimedia. Full text not available from this repository.
Official URL: http://vlib.mmu.edu.my/diglib/login/dlusr/login.ph...
Abstract
This project propose an idea to cluster users in Twitter based on the keyword similarity and the connectivity among them. This task can be accomplished through 4 main steps, namely, Date Filtering, Tweet mining and keyword Extraction, Multi Clustering and Multi Conditional Cluster ranking.i
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | H Social Sciences > HM Sociology |
| Divisions: | Faculty of Engineering and Technology (FET) |
| Depositing User: | Ms Suzilawati Abu Samah |
| Date Deposited: | 18 Jan 2012 07:13 |
| Last Modified: | 18 Jan 2012 07:13 |
| URII: | http://shdl.mmu.edu.my/id/eprint/3352 |
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