Analysis of Social Data Opinion through Public User Raw Information
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
In this paper, we move one step further to interpret sentiment variations. To the best of our knowledge, our study is the proposed work that tries to analyze and interpret the public sentiment variations in micro blogging services. We propose a sentimental data analysis model using Neural Networks. Positive, Negative and moderate feed backs will be calculated here. We observed that emerging topics (named foreground topics) within the sentiment variation periods are highly related to the genuine reasons behind the variations. These foreground topics can give potential interpretations of the sentiment variations.
Authors and Affiliations
Shilna K S, T Sivakumar, Miji K. Raju
Keywords
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- EP ID EP24172
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