A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

Understand

Opinion mining from customer reviews has become pervasive in recent years.

• Sentences in reviews, however, are usually classified independently, even though they form part of a review's argumentative structure.
• Intuitively, sentences in a review build and elaborate upon each other; knowledge of the review structure and sentential context should thus inform the classification of each sentence.
• We demonstrate this hypothesis for the task of aspect-based sentiment analysis by modeling the interdependencies of sentences in a review with a hierarchical bidirectional LSTM.