Aspect summarization from blogsphere for social study

Chia Hui Chang, Kun Chang Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, we study the problem of summarizing reasons from blogsphere for social study. We regard weblogs as a source for collecting non-discrete public opinions, where genuine reasons/aspects can be found. To extract the reason inside the blogs, we define four tasks: irrelevant blog filtering, reason/non-reason classification, polarity identification, and reason summarization. We solve the reason/non-reason classification problem by selecting a set of topic related words and brief the reasons by clustering paragraphs containing aspects after sentiment classification. Initial experiments on two topics show an encouraging result on the proposed framework.

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主出版物標題ICDM Workshops 2007 - Proceedings of the 17th IEEE International Conference on Data Mining Workshops
頁面9-14
頁數6
DOIs
出版狀態已出版 - 2007
事件17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007 - Omaha, NE, United States
持續時間: 28 10月 200731 10月 2007

出版系列

名字Proceedings - IEEE International Conference on Data Mining, ICDM
ISSN(列印)1550-4786

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???event.eventtypes.event.conference???17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007
國家/地區United States
城市Omaha, NE
期間28/10/0731/10/07

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