基于深度学习的微博情感分析综述  

Overview on Sentiment Analysis of Chinese Microblog Based on Deep Learning

作　　者：崔圣杰 李珊珊 孙琦[2] CUI Sheng-jie;LI Shan-shan;SUN Qi

机构地区：[1]山东英才学院信息工程学院,山东济南250104 [2]中国联合网络通信有限公司山东省分公司,山东济南

出　　处：《信息技术与信息化》2019年第6期149-151,共3页Information Technology and Informatization

基　　金：山东省自然科学基金(ZR2016FM34);山东省高等学校科研计划(J18KA375);山东英才学院校级课题(18YCZDXSZR01,18YCYBZR01,19YCSBKT13,19YCSBKT16,19YCXSZZ39,19YCXSZZ40,19YCXSZZ43,19YCXSZC14)

摘　　要：随着21世纪互联网的迅速发展,微博作为一种新型媒体,也成为人们在网络上分享、交流信息和抒发情感的重要工具。随着大数据的分析与研究的热潮,对微博文本信息的舆情监控、商业决策以及情感分析也蕴藏着极大的商业价值。微博情感分析基于微博语料库预处理、微博文本情感特征抽取和微博情感分类三个步骤。本文主要介绍了利用深度学习进行微博情感分析的步骤和方法。With the rapid development of the Internet in the 21st century, microblog as a new type of media has become an important tool,which people to share, exchange information and express emotions on the Internet.In addition, with the upsurge of big data analysis and research, microblog informations are also contain great commercial value on public opinion monitoring, business decisions and sentiment analysis.The task of microblog emotion analysis is divided into three steps: the pre-processing of microblog corpus, the extraction of emotion feature in microblog text and the classification of emotion in microblog.This paper mainly introduces the classification method of emotion in microblog texts by deep learning.

关 键 词：深度学习 情感分类 微博文本 数据分析 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] TP183[自动化与计算机技术—计算机科学与技术]