Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis

Hao-Ming Fu, Pu-Jen Cheng

Document representation is the core of many NLP tasks on machine understanding. A general representation learned in an unsupervised manner reserves generality and can be used for v…