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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 4, ISSUE 8, AUGUST 2017

SURVEY ON ANALYTICAL TECHNIQUES FOR SOCIAL NETWORKING SERVICE

Hyeuk Kim

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Abstract: We are living in big data era. Massive data are generated every day as the internet develops. The development of internet yields new service which is called social networking service. New analytic methods are also developed to analyse data from the social networking service. We review text mining, sentiment analysis, social network analysis, and text clustering which are widely used for the analysis of social networking service. We also point out the characteristics of the above techniques.

Keywords: Social networking service, Text mining, Sentiment analysis, Social Network analysis, Text clustering.

How to Cite:

[1] Hyeuk Kim, “SURVEY ON ANALYTICAL TECHNIQUES FOR SOCIAL NETWORKING SERVICE,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2017.4820

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