Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis

1 code implementation • ACL 2019 • Lingxian Bao, Patrik Lambert, Toni Badia

Abstract Attention based deep learning systems have been demonstrated to be the state of the art approach for aspect-level sentiment analysis, however, end-to-end deep neural networks lack flexibility as one can not easily adjust the network to fix an obvious problem, especially when more training data is not available: e. g. when it always predicts \textit{positive} when seeing the word \textit{disappointed}.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1