Identifying Clusters Of Users In Twitter Dataset

Heidarian, Arash (2011) Identifying Clusters Of Users In Twitter Dataset. Masters thesis, University of Multimedia.

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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
URI: http://shdl.mmu.edu.my/id/eprint/3352

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