Identifying Clusters Of Users In Twitter Dataset
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
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2011
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my-mmu-ep.33522012-01-18T07:13:31Z Identifying Clusters Of Users In Twitter Dataset 2011-02 Heidarian, Arash HM Sociology 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 2011-02 Thesis http://shdl.mmu.edu.my/3352/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters University of Multimedia Research Library |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
HM Sociology |
| spellingShingle |
HM Sociology Heidarian, Arash Identifying Clusters Of Users In Twitter Dataset |
| description |
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 |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Heidarian, Arash |
| author_facet |
Heidarian, Arash |
| author_sort |
Heidarian, Arash |
| title |
Identifying Clusters Of Users In Twitter Dataset |
| title_short |
Identifying Clusters Of Users In Twitter Dataset |
| title_full |
Identifying Clusters Of Users In Twitter Dataset |
| title_fullStr |
Identifying Clusters Of Users In Twitter Dataset |
| title_full_unstemmed |
Identifying Clusters Of Users In Twitter Dataset |
| title_sort |
identifying clusters of users in twitter dataset |
| granting_institution |
University of Multimedia |
| granting_department |
Research Library |
| publishDate |
2011 |
| _version_ |
1747829483056922624 |