华侨大学学报（自然科学版）2018，Vol.39Issue(2)：252-255,4.DOI:10.11830/ISSN.1000-5013.201606123
采用循环神经网络的情感分析注意力模型
Recurrent Neural Network Using Attention Model for Sentiment Analysis
摘要
Abstract
Aim at the overlook of emotional words in the present recurrent neural network model used for sentiment analysis,we propose an emotional word attention model based on recurrent neural network.By introducing the attention mechanism,the model can pay more attention to the emotional words in the text sentiment classification.Experiments are conducted on the NLPCC 2014 sentiment analysis dataset and IMDB movie review dataset,the results show that our model can improve the sentiment analysis effect.关键词
情感分析/循环神经网络/注意力/长短时记忆Key words
sentiment analysis/recurrent neural network/attention/long short term memory分类
信息技术与安全科学引用本文复制引用
李松如,陈锻生..采用循环神经网络的情感分析注意力模型[J].华侨大学学报（自然科学版）,2018,39(2):252-255,4.基金项目
国家自然科学基金资助项目(61370006) （61370006）
福建省科技计划(工业引导性)重点项目(2015H0025) （工业引导性）
