Modeling to find the top bloggers using Sentiment Features

Umar Ishfaq, H. Khan, Khalid Iqbal
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引用次数: 7

Abstract

Weblogs are discussion forums empowering individuals to express their views and opinions. Blogosphere is the virtual world of all the blogs covering wide variety of social issues. The bloggers with the abilities to influence and sway other users' opinions are known as the influential bloggers. Identification of the influential bloggers has vast applications in online marketing, advertising and electronic commerce. Several models for identifying the influential bloggers are proposed in the relevant literature. However, the sentiment expressed by a blogger in a blog post is not explored. In this paper, we propose a model based on the integration of activity and recognition modules. The number of blog posts and quantitative analysis of sentiment expressed in blog posts represent a blogger's activity. The recognition represents the influence and reputation of a blogger in a social community. The experiments have been carried out using the social media blog of TechCrunch. The evaluation of the proposed model, MIBSF, using the performance evaluation measures prove that sentiment expressed in a post should be considered as an important factor for identifying influential bloggers. The findings also indicate that MIBSF shows better results to find the influential bloggers as compared to the existing methods.
使用情感特征建模来寻找顶级博主
博客是允许个人表达自己观点和意见的讨论论坛。博客圈是所有博客的虚拟世界,涵盖各种各样的社会问题。有能力影响和动摇其他用户意见的博客被称为有影响力的博客。识别有影响力的博客在网络营销、广告和电子商务中有着广泛的应用。在相关文献中提出了几种识别有影响力博主的模型。然而,博客作者在博客文章中表达的情感却没有被探讨。在本文中,我们提出了一个基于活动和识别模块集成的模型。博客文章的数量和对博客文章中表达的情感的定量分析代表了博主的活动。这种认可代表了博主在社会群体中的影响力和声誉。这些实验是通过TechCrunch的社交媒体博客进行的。利用绩效评价指标对所提出的MIBSF模型进行评价,证明文章中表达的情感应被视为识别有影响力博主的重要因素。研究结果亦显示,相较于现有方法,MIBSF在寻找有影响力的部落客方面表现更佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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