摘要
随着社交网络的逐渐成熟,各类语种的文本出现在社交网络上。而这些非规范的短文本蕴藏着人们对事物的褒贬、需求等意见,是国家政府和企业了解公众舆论的重要参考信息,具有重大的研究价值和应用价值。首先,对目前互联网短文本情感分析领域常用的神经网络、跨语言和应用语言学知识等研究方法进行归纳和总结;其次,对当前短文本情感分析研究的热点领域——社交媒体和资源稀缺语言的情感分析进行现状分析;最后,对短文本情感分析研究的趋势进行总结,分析存在的问题,并对未来进行展望。
With the gradual maturity of social networks,texts of various languages appear on social networks.These short texts contain praise and demand of people.They have important reference for the government and enterprises to understand the public opinion,which have significant value in research and application.First of all,the current research methods of sentiment analysis for Internet short text were summarized,including neural network,cross language and applied linguistics knowledge.Secondly,the current situation analysis was carried out in the hot spot field of sentiment analysis for short text.Finally,the research trend of sentiment analysis for short text was summarized,and the future was prospected.
作者
拥措
史晓东
尼玛扎西
YONG Tso1,2 ,SHI Xiao -dong2 ,NyimaTrashi1(1School of Information Science and Engineering,Tibet University, Lhasa 850000 ,China;2School of Information Science and Engineering, Xiamen University, Xiamen, Fujian 361005, Chin)
出处
《计算机科学》
CSCD
北大核心
2018年第B06期46-49,68,共5页
Computer Science
基金
国家自然科学基金项目(61262086)资助
关键词
情感分析
短文本
社交媒体
资源稀缺语言
Sentiment analysis
Short text
Social media
Scarce resource language
