PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis 论文

2015引用 266
Sentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesTopic Modeling

详细信息

发表日期
2015-01-01
发表年份
2015

关键词

Sentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesTopic Modeling

摘要

This paper presents a new method to identify sentiment of an aspect of an entity. It is an extension of RNN (Recursive Neural Network) that takes both dependency and constituent trees of a sentence into account. Results of an experiment show that our method significantly outperforms previous methods.