[1]孙本旺,田 芳.藏文情感词典的构建及微博情感计算研究[J].计算机技术与发展,2018,28(11):212-216.[doi:10.3969/j.issn.1673-629X.2018.11.046]
 SUN Ben-wang,TIAN Fang.Research on Construction of Tibetan Emotional Dictionary and Emotional Computing of Micro-blog[J].,2018,28(11):212-216.[doi:10.3969/j.issn.1673-629X.2018.11.046]
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藏文情感词典的构建及微博情感计算研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年11期
页码:
212-216
栏目:
应用开发研究
出版日期:
2018-11-10

文章信息/Info

Title:
Research on Construction of Tibetan Emotional Dictionary and Emotional Computing of Micro-blog
文章编号:
1673-629X(2018)11-0212-05
作者:
孙本旺1田 芳2
1.青海大学 计算机技术与应用系,青海 西宁 810016; 2.青海大学 信息化技术中心,青海 西宁 810016
Author(s):
SUN Ben-wang1TIAN Fang2
1.Department of Computer Technology and Applications,Qinghai University,Xining 810016,China; 2.Information Technology Center,Qinghai University,Xining 810016,China
关键词:
中文情感词典 藏汉情感词典 藏文情感词典 藏文微博 权值 情感分类
Keywords:
Chinese emotion dictionaryTibetan-Chinese sentiment lexiconTibetan emotion dictionaryTibetan micro-blogweighte- motional analysis
分类号:
TP391.1
DOI:
10.3969/j.issn.1673-629X.2018.11.046
文献标志码:
A
摘要:
针对国内尚缺乏系统的藏文情感词典,提出借助中文情感词典资源自动构建藏文情感词典的方法,并基于构建的藏文情感词典对藏文微博进行情感分析研究.首先,通过合并去重算法、字符串匹配算法等自动地构建了藏汉情感词典;然后,通过去重算法得到藏文情感词典和藏文停用词词典;最后,通过加权叠加微博中的情感词或情感短语相应的权值来研究藏文微博的情感倾向.实验自动构建了藏文情感词典,包含基础情感词、程度词、否定词、转折词、双重否定词、藏文停用词.基于实验构建的藏文情感词典,与其他藏文情感词典相比,有效地提高了藏文微博情感倾向分类的准确率.实验结果表明,该词典达到了良好的实用性.
Abstract:
In view of the lack of a systematic sentiment dictionary of Tibetan in China,we propose a method to automatically construct a Tibetan emotion dictionary by using Chinese emotion dictionary resources,and conduct an emotional analysis of Tibetan micro-blog based on the constructed Tibetan emotion ictionary. First,Tibetan-Chinese sentiment lexicon are automatically constructed by using the merge to weight algorithm and the string matching algorithm. Then,the Tibetan emotional dictionary and the Tibetan dictionary of words which are never used again are obtained through the de-weight lgorithm.Finally,corresponding the weight of the emotional words and emotional phrases respectively to study the emotional bias inclination of Tibetan micro-blog. The experiment automatically builds the Tibetan emotional dictionary,including the basic emotional words,degree words,negative words,turning words,double negative words and words which are never used again. This Tibetan sentiment dictionary constructed,compared with other Tibetan sentiment dictionaries,can effectively improve the accuracy of sentiment classification of Tibetan micro-blog. The experiment shows that the dictionary has achieved strong practicability.
更新日期/Last Update: 2018-11-10