Sentiment Clustering: A Novel Method to Explore in the Blogosphere

  • Authors:

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

  • Affiliations:

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

  • Venue:
  • APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
  • Year:
  • 2009

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Abstract

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.