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Technology for harvesting and analyzing massive amount of data from social networks and their visualization in real time

Jernej Demojzes (2013) Technology for harvesting and analyzing massive amount of data from social networks and their visualization in real time. EngD thesis.

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    Abstract

    In this thesis I describe the development process of an application that is able to capture, analyze and visualize a large number of messages in real time. Due to large amount of data on social networks and an even larger amount of data during media-exposed events an idea was born to gather and analyze that data. We wanted to create a solution that was able to gather messages during large events and create numerous analysis based on that messages like hit count analysis, reach count analysis, word cloud analysis, sentiment count analysis, language analysis,... In this thesis I describe the concepts of distributed architectural patterns in developing applications for the cloud that brought us to a point where we can do all of the above in near real-time.

    Item Type: Thesis (EngD thesis)
    Keywords: Social networks, cloud, Windows Azure, data analysis, .NET framework, parallel processing, scaling
    Number of Pages: 54
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    viš. pred. dr. Alenka Kavčič264Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=10368340)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 2301
    Date Deposited: 13 Dec 2013 09:52
    Last Modified: 16 Jan 2014 12:13
    URI: http://eprints.fri.uni-lj.si/id/eprint/2301

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