作者: Shi Feng , Daling Wang , Ge Yu , Chao Yang , Nan Yang
DOI: 10.1007/978-3-642-00672-2_30
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摘要: In recent years, blogs have become the major platform for people to express their opinions and sentiments in Web age. The traditional blog search engines usually employ topic-oriented techniques, which are not easy users make better understanding of bloggers' feelings emotions. this paper, an emotion-oriented clustering approach is proposed according sentiment similarities between result titles snippets. Extensive experiments were conducted based on a real world engine show that our can cluster items into groups allow organization navigation, provides novel method explore blogosphere.