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作 者:夏梦婷 祁云嵩[1] 朱丹[2] XIA Mengting;QI Yunsong;ZHU Dan(Jiangsu University of Science and Technology,Zhenjiang 212000;Guizhou Normal University,Guiyang 550001)
机构地区:[1]江苏科技大学,镇江212000 [2]贵州师范大学,贵阳550001
出 处:《计算机与数字工程》2019年第5期1194-1198,1222,共6页Computer & Digital Engineering
摘 要:网络舆情作为反映网民对社会问题不同看法的社会舆论表现形式,其情感强度分析也逐渐成为政府决策的数据来源。针对网络舆情中网民语言表述的特点,并考虑到情感的模糊性,首先将用户的观点分等级处理;考虑到中文词语的奇异性,利用HowNet中文词语相似度计算词语的权值;多方面考虑中文表述和网络语言发展的多样性,提出从语义角度分析网络舆情评价事件中情感词,短语,句子,篇章的情感强度,并对网络舆情中的多对象进行情感强度的计算,最终得出网络舆情情感强度。实验结果表明,该方法能有效判定网络舆情情感强度。Network public opinion as the expression of social public opinion reflects people's different points of view to the so. cial problems,and emotional intensity of network public opinion analysis also gradually become a source of data for government de. cision-making. First of all,according to the characteristics of Internet language in network public opinion expression and consider. ing the fuzziness of emotion,the user's viewpoint is divided into hierarchical processing. And considering the singularity of the Chi. nese words,HowNet words in Chinese word similarity is used to calculate weights. Thinking diversity of Chinese expression and the development of the network language,this paper puts forward synthetic analysis of network public opinion in the emotional intensity for four granularity of chapter,sentences,phrases,and emotional words from semantic angle,then emotional intensity is calculated in more object of network public opinion,finally the network public opinion emotional intensity is figured out. The experimental re. sults show that the method can effectively determine the emotional intensity of online public opinion.
分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]
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