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Twitter Data Clustering and Visualization Host Publication: International Conference on Telecommunications ཌ Authors: A. Sechelea, T. Do, E. Zimos and N. Deligiannis Publication Date: May. 2016 Number of Pages: 5
Abstract: We present a system for the acquisition, analysis and visualisation of Twitter data. Twitter messages are harvested and stored in a distributed cluster, and the data is processed using algorithms implemented in a MapReduce framework. We present a clustering algorithm capable of identifying the main topics of interest in a tweet data set. Also, we designed a visualization method which allows to follow the intensity of twitter activity at a given geographical location.
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