FRAMEWORK FOR CLUSTERING ON SOCIAL NETWORKING MESSAGE
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 3
Abstract
Normally, the messages collected from the social networking applications are highly unstructured and cluttered that pose a significant level of difficulty for applying conventional mining technique. Is such data are not filtered effectively; it will pose a greater deal of difficulty for the user if s/he wants to generate a customized level of query. This problem can be solved using clustering technique. Hence, we proposed a technique that is capable of visualizing the exact data representation of messages by applying a unique semantics operation followed by clustering. The study outcome of the technique is found to have better f1-score and accuracy in comparison to existing system of clustering social networking data.
Authors and Affiliations
Satish Babu M , Geetha Pawar
Keywords
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