Nowadays, user's review or rating is very important for the company. Due to the narrative text, it is difficult to design a feature engine to extract important features from those reviews. Deep learning method can extract and learn features automatically, which gives me the motivation to design an innovative deep learning model to identify user reviews.
I desinged an innovative CLSTM-Attention model which contains word embedding layer, convolution layer, LSTM layer, attention layer and softmax layer.
Input: sentences/reviews Output: Positive/negative
What it does
The model is used to classify the reviews like user reviews into positive and negative reviews.