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博客作者声誉度分析 被引量:1

Analysis of Blog Author Reputation
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摘要 博客作为一种新兴的网络媒体,它具有自媒体的特征,使其成为舆情产生和传播的主要场所,因此对于博客作者和评论的研究是十分重要的。传统的博客作者声誉度排名是基于点击率和评论数量进行的,在此基础上结合评论的质量和博文的内容实现了对博客作者声誉度的排名。首先通过情感语义特征分析博文,获得博客的情感基调;然后利用基于段落的多句联合评估方法进行评价;最后结合得到的评论倾向性和质量及浏览量等信息获得作者的声誉度。实验结果表明,该方法可以更为有效地对博客作者的声誉度进行排名。 Blog is a new kind of self-media, and becomes the main place of public opinion production and propagation. As a result, it is very important to do some research on Blog posts and reviews. Some ranking lists for blog authors are just calculated on click-through rate and the number of reviews. This paper focuses on combining the content of blog post and reviews into the click-through rate and the number of reviews to analyze the author reputation. Firstly, it gets the emotional tone of blog post by emotional feature analysis. Next, it evaluates the emotional type of blog post by sentences joint assessment method. Finally, it gives the author reputation degree based on the tendency of reviews, the quality of contents and the number of clicks. The experimental results show that it is more effective than the click rank of authors and makes more useful information about authors.
出处 《计算机科学与探索》 CSCD 2013年第9期838-847,共10页 Journal of Frontiers of Computer Science and Technology
基金 国家自然科学基金Nos.60973068 61277370 辽宁省自然科学基金No.201202031 中央高校基本科研业务费专项资金 大连理工大学青年学者启动基金~~
关键词 评论质量 情感倾向性 多句联合评估 博客作者声誉度 review quality emotional tendency sentences joint assessment method blog author reputation
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  • 1林传鼎,无.社会主义心理学中的情绪问题——在中国社会心理学研究会成立大会上的报告(摘要)[J].社会心理科学,2006,21(1):37-37. 被引量:15
  • 2俞士汶.Automatic Evaluation of Output Quality for Machine Translation Systems .Machine Translation,1993,8:17-126. 被引量:1
  • 3俞士汶 姜新 朱学锋.基于测试集与测试点的机译系统评估[A].见陈肇雄主编.机器翻译研究进展[C].电子工业出版社,1992年.524—537. 被引量:1
  • 4俞士汶 段慧明.英汉机器翻译译文质量测试大纲[J].计算机世界(D版技术专题D10-D11),1998,(13). 被引量:2
  • 5[1]R W Picard.Affective Computing.Cambridge,MA:MIT Press,1997 被引量:1
  • 6[2]P Subasic,A Huettner.Affect analysis of text using fuzzy semantic typing.IEEE Trans on Fuzzy Systems,2000,9(4):483-496 被引量:1
  • 7[3]Hugo Liu,Ted Selker,Henry Lieberman.Visualizing the affective structure of a text document.Conf on Human Factors in Computing Systems(CHI'03),Fort Lauderal,2003 被引量:1
  • 8[4]Hua Wang,Helmut Prendinger,Takeo Igarashi.Communicating emotions in online chat using physiological sensors and animated text.Conf on Human Factors in Computing Systems(CHI'04),Vienna,Austria,2004 被引量:1
  • 9[5]Chunling Ma,Pendinger Helmut,Ishizuka Mitsuru.Emotion estimation and reasoning based on affective textual interaction.In:Lecture Notes on Computer Science 3784.Berlin:Springer,2005.622-628 被引量:1
  • 10[6]Yu Zhang,Zhuoming Li,Fuji Ren,et al.Semi-automatic emotion recognition from textual input based on the constructed emotion thesaurus.IEEE Conf on Natural Language Processing and Knowledge Engineering,Wuhan,2005 被引量:1

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