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Sentiment Clustering: A Novel Method to Explore in the Blogosphere

机译：情感聚类：一种新的探索方式

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摘要

In recent years, blogs have become the major platform for people to express their opinions and sentiments in the Web age. The traditional blog search engines usually employ topic-oriented techniques, which are not easy for users to make better understanding of bloggers' feelings and emotions. In this paper, an emotion-oriented clustering approach is proposed according to the sentiment similarities between blog search result titles and snippets. Extensive experiments were conducted based on a real world blog search engine and the experiments show that our approach can cluster blog search result items into sentiment groups to allow for better organization and easy navigation, which provides users a novel method to explore in the blogosphere.
机译：近年来，博客已成为人们在网络时代表达意见和情感的主要平台。传统的博客搜索引擎通常采用面向主题的技术，这对于用户来说，要更好地理解博客作者的感受和情感并不容易。本文根据博客搜索结果标题与摘要之间的情感相似性，提出了一种面向情感的聚类方法。基于现实世界中的博客搜索引擎进行了广泛的实验，实验表明，我们的方法可以将博客搜索结果项归类为情感组，以实现更好的组织和便捷的导航，这为用户提供了一种在Blog领域进行探索的新颖方法。

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  • 来源
  • 会议地点 Suzhou(CN)
  • 作者

    Shi Feng; Daling Wang; Ge Yu; Chao Yang; Nan Yang;

  • 作者单位

    College of Information Science and Engineering, Northeastern University, Shenyang 110004, P.R. China;

    College of Information Science and Engineering, Northeastern University, Shenyang 110004, P.R. China;

    College of Information Science and Engineering, Northeastern University, Shenyang 110004, P.R. China;

    College of Information Science and Engineering, Northeastern University, Shenyang 110004, P.R. China;

    College of Information Science and Engineering, Northeastern University, Shenyang 110004, P.R. China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
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