基于用户相似度和基于交互的社会关系的微博情感分析

IF 0.8 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Web Services Research Pub Date : 2020-07-01 DOI:10.4018/IJWSR.2020070103
Xiaoyan Ruan, Lin Xiao, Chuanmin Mi, Yue Lu
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引用次数: 4

摘要

随着信息技术的快速发展,微博情感分析(MSA)已经成为一个热门的研究课题,得到了文献的广泛研究。微博消息通常很短,没有结构化,包含的信息较少,这对传统的基于内容的方法的应用构成了重大挑战。在本研究中,作者提出了一种新的方法MSA-USSR,该方法将用户相似度信息和基于交互的社会关系信息相结合,构建微博数据之间的情感关系。他们利用这些微博-微博情感关系来训练情感极性分类器。利用两个新浪微博数据集对提出的模型进行验证。实验结果表明,该方法比基于内容的支持向量机(SVM)方法和最先进的监督模型SANT具有更好的情感分类精度和f1分数。
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Microblog Sentiment Analysis Using User Similarity and Interaction-based Social Relations
With the rapid development of information technology, microblog sentiment analysis (MSA) has become a popular research topic extensively examined in the literature. Microblogging messages are usually short, unstructured, contain less information, creating a significant challenge for the application of traditional content-based methods. In this study, the authors propose a novel method, MSA-USSR, in which user similarity information and interaction-based social relations information are combined to build sentiment relationships between microblogging data. They make use of these microblog–microblog sentiment relations to train the sentiment polarity classification classifier. Two Sina-Weibo datasets were utilized to verify the proposed model. The experimental results show that the proposed method has a better sentiment classification accuracy and F1-score than the content-based support vector machine (SVM) method and the state-of-the-art supervised model known as SANT.
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来源期刊
International Journal of Web Services Research
International Journal of Web Services Research 工程技术-计算机:软件工程
CiteScore
2.40
自引率
0.00%
发文量
19
审稿时长
>12 weeks
期刊介绍: The International Journal of Web Services Research (IJWSR) is the first refereed, international publication featuring the latest research findings and industry solutions involving all aspects of Web services technology. This journal covers advancements, standards, and practices of Web services, as well as identifies emerging research topics and defines the future of Web services on grid computing, multimedia, and communication. IJWSR provides an open, formal publication for high quality articles developed by theoreticians, educators, developers, researchers, and practitioners for those desiring to stay abreast of challenges in Web services technology.
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