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Recurrent Attention Network on Memory for Aspect …

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 452 461 Copenhagen, Denmark, September 7 11, 2017 Association for Computational LinguisticsRecurrent Attention Network on Memory for Aspect sentiment AnalysisPeng Chen Zhongqian Sun Lidong Bing Wei YangAI LabTencent Inc.{patchen, sallensun, lyndonbing, propose a novel framework based onneural networks to identify the sentimentof opinion targets in a framework adopts multiple-attentionmechanism to capture sentiment featuresseparated by a long distance, so that itis more robust against irrelevant informa-tion. The results of multiple attentionsare non-linearly combined with a recur-rent neural Network , which strengthens theexpressive power of our model for han-dling more complications.}

1 Introduction The goal of aspect sentiment analysis is to iden-tify the sentiment polarity (i.e., negative, neutral, or positive) of a specic opinion target expressed in a comment/review by a reviewer. For exam-ple, in I bought a mobile phone, its camera is wonderful but the battery life is short , there are

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