Parallel Recursive Deep Model for Sentiment Analysis

doi:10.1007/978-3-319-18032-8 2

CORC > 自动化研究所 > 中国科学院自动化研究所 > 数字内容技术与服务研究中心 > 听觉模型与认知计算

	Parallel Recursive Deep Model for Sentiment Analysis
	Li, Changliang; Xu, Bo; Wu, Gaowei; He, Saike; Tian, Guanhua; Zhou, Yujun
	2015-05-19
会议日期	2015-5-19 ~ 2015-5-22
会议地点	Ho Chi Minh
关键词	Sentiment Analysis Prdm Sentiment-rnn
DOI	10.1007/978-3-319-18032-8 2
英文摘要	Sentiment analysis has now become a popular research problem to tackle in Artificial Intelligence (AI) and Natural Language Processing (NLP) field. We introduce a novel Parallel Recursive Deep Model (PRDM) for predicting sentiment label distributions. The main trait of our model is to not only use the composition units, i.e., the vector of word, phrase and sentiment label with them, but also exploit the information encoded among the structure of sentiment label, by introducing a sentiment Recursive Neural Network (sentiment-RNN) together with RNTN. The two parallel neural networks together compose of our novel deep model structure, in which Sentiment-RNN and RNTN cooperate with each other. On predicting sentiment label distributions task, our model outperforms previous state of the art approaches on both full sentences level and phrases level by a large margin.
会议录	Advances in Knowledge Discovery and Data Mining
语种	英语
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/41144]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
通讯作者	Li, Changliang
推荐引用方式 GB/T 7714	Li, Changliang,Xu, Bo,Wu, Gaowei,et al. Parallel Recursive Deep Model for Sentiment Analysis[C]. 见:. Ho Chi Minh. 2015-5-19 ~ 2015-5-22.