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