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深度学习框架下微博文本情感细粒度研究
引用本文:王儒,王嘉梅,王伟全,符飞.深度学习框架下微博文本情感细粒度研究[J].计算机系统应用,2020,29(5):19-28.
作者姓名:王儒  王嘉梅  王伟全  符飞
作者单位:云南民族大学 电气信息工程学院, 昆明 650504;云南民族大学 云南省高校少数民族语言文字信息化处理工程研究中心, 昆明 650504
摘    要:情感细粒度分析是情感分析的分支,随着社交网络规模的扩大,简单的划分积极或消极的粗粒度情感分析不能满足实际应用的需要,基于评价对象及其属性的细粒度情感分析得到了重视.近几年深度学习在自然语言处理领域的成功应用给情感细粒度分析提供了新的思路.以NLPCC2013任务二微博数据集为研究对象,探究微博短文本在不同神经网络结构中的情感细粒度分类结果并加入词向量进行优化,最后分析与总结了神经网络微博短文本细粒度情感分析的影响因素及发展方向.

关 键 词:细粒度情感分析  神经网络  微博短文本
收稿时间:2019/9/18 0:00:00
修稿时间:2019/10/15 0:00:00

Fine-Grained Analysis and Research of Emotion in Microtext under Framework of Deep Learning
WANG Ru,WANG Jia-Mei,WANG Wei-Quan,FU Fei.Fine-Grained Analysis and Research of Emotion in Microtext under Framework of Deep Learning[J].Computer Systems& Applications,2020,29(5):19-28.
Authors:WANG Ru  WANG Jia-Mei  WANG Wei-Quan  FU Fei
Institution:School of Electric and Informative Engineering, Yunnan Minzu University, Kunming 650504, China;Engineering Research Center of Yunnan Higher Education for Information Processing of Minority Languages and Characters, Yunnan Minzu University, Kunming 650504, China
Abstract:Fine-grained analysis of emotion is a branch of sentiment analysis, with the expansion of social network, the division of simple positive or negative coarse-grained sentiment analysis cannot satisfy the need of practical application. Thus the fine-grained emotional analysis based on evaluation objects and their attributes has received attention in recent years. The successful application of deep learning in the field of natural language processing in recent years provides a new idea for the fine-grained analysis of emotion. Take NLPCC2013 task 2 Weibo data set as the research object, explore the classification results of microtext in different neural network structures and add word vectors for optimization. Finally, the influencing factors and development direction of finer-grained emotion analysis of neural network micro-blog essay are analyzed and summarized.
Keywords:fine-grained analysis of emotions  neural network  microtext
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