Domain adaptive model for sentiment classification using deep learning approach

This paper discusses a domain adaptive model for opinion mining and sentiment classification of unstructured text reviews posted in social media site or web forums. The amount of online textual reviews generated in social media websites and blogs is growing exponentially and can source from numerous domains and is difficult to maintain labeled training data for all of them. Model proposed in the paper utilizes deep learning techniques for feature extraction in an unsupervised manner and neural network for sentiment classification of textual reviews. The goal is to build a domain adaptive model which can automatically capture the shared sentiment features across domains.