Face Sentiment Prediction by Deep Learning Model complete code with Document

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In this work, an algorithm was proposed to expand the protection from information mining issues. Considering this fact work has focus on one of the issue of the sentiment based pattern classification which is build by the different organization of facial expression prediction. As proposed work can proficiently classify all sort of facial expressions present in images. Here many researchers have already done lot of work but that is focus only on the content cataloging where in this work images are classified. In few work pattern classification are done on the basis of the background information, but this work overcome this dependency as well here it classify all the facial images without having prior knowledge by using genetic algorithm TLBO. It is observable that proposed work centroid selection method is efficient as respective to the previous. Here iteration in both work increase the precision value but selection different set of features for clustering make high accuracy value of proposed work. Results shows that using an correct iteration with fix number of centroid for classification proposed algorithm works better than previous work.

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