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Sentiment Analysis of Facebook & Twitter Using Soft Computing using machines

Zubayer Bin Hasnat

Abstract


Abstract:

Social Media is a widely known way of correspondence amongst teenagers to live associated by their companions. Facebook & Twitter is some of the supreme preferred   Social Media websites which save the huge measure of statistics that can be investigated for Sentiment analysis. On this project, I take carried out a crossbreed an exploration method that consolidates the best highlights of a verbal evaluation and SVM AI arrangement calculation on FB & Twitter Posts.  An exploration is additionally enhanced by means of fusing language speak highlights to apprehend energy of slant and the unique feelings transferred via those posts.

 

Key words; AI ,Sentiment analysis, soft computing,internet,SVM,Data mining

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References


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DOI: https://doi.org/10.37628/ijaem.v6i1.1354

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