DIMENSIONAL SENTIMENT ANALYSIS USING REGIONAL CNN-ISTM MODEL

Dimensional sentiment analysis that means, continuous numerical values in multiple dimensions, such as valence arousal space(Degree of positive & negative sentiment) CNN(convolution neural network) it is used image recognition & classification algorithm, at deep neural networks in the computer  visions.

Architecture of CNN ISTM model 

About model

By using word2vectoolkit,the vocabulary words are trained from corpus, CNN convert given text into r regions.

Effective featured should be extracted & pass convolutional layer &max pooling layers.

Convolutional layer:it is be extracted n gram features.

Maxpool layer:it apply max operation in each filters & elimates non maximal values ,finally reduces the computation.

Sequential layer: it integrates sequentially in each region vector into text vector.

Linear decoder: minimizing the mean squared error between the between the predicted output. 

Conclusion

Dimensional sentiment analysis using regional CNN model can predict VA rating of the text

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