@inproceedings{a4e41ddc9ea94fe1ace45efc0374d3de,
title = "Aspect summarization from blogsphere for social study",
abstract = "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.",
keywords = "Opinion extraction, Reason summarization, Sentiment classicization, Social study, Text mining, Weblogs",
author = "Chang, {Chia Hui} and Tsai, {Kun Chang}",
year = "2007",
doi = "10.1109/ICDMW.2007.42",
language = "???core.languages.en_GB???",
isbn = "0769530192",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
pages = "9--14",
booktitle = "ICDM Workshops 2007 - Proceedings of the 17th IEEE International Conference on Data Mining Workshops",
note = "17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007 ; Conference date: 28-10-2007 Through 31-10-2007",
}