Knowledge Commons of Institute of Automation,CAS
Parallel Recursive Deep Model for Sentiment Analysis | |
Li, Changliang; Xu, Bo; Wu, Gaowei; He, Saike; Tian, Guanhua; Zhou, Yujun | |
2015-05-19 | |
会议名称 | Analysis,the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015) |
会议录名称 | Advances in Knowledge Discovery and Data Mining |
会议日期 | 2015-5-19 ~ 2015-5-22 |
会议地点 | Ho Chi Minh |
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. |
关键词 | Sentiment Analysis Prdm Sentiment-rnn |
DOI | 10.1007/978-3-319-18032-8 2 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41144 |
专题 | 复杂系统认知与决策实验室_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],2015. |
条目包含的文件 | 条目无相关文件。 |
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