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Titlebook: Social Media Processing; Third National Confe Heyan Huang,Ting Liu,Jie Tang Conference proceedings 2014 Springer-Verlag Berlin Heidelberg 2

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发表于 2025-3-21 18:41:00 | 显示全部楼层 |阅读模式
书目名称Social Media Processing
副标题Third National Confe
编辑Heyan Huang,Ting Liu,Jie Tang
视频video
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Social Media Processing; Third National Confe Heyan Huang,Ting Liu,Jie Tang Conference proceedings 2014 Springer-Verlag Berlin Heidelberg 2
描述This book constitutes the thoroughly refereed papers of the Third National Conference of Social Media Processing, SMP 2014, held in Beijing, China, in November 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 101 submissions. The papers focus on the following topics: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.
出版日期Conference proceedings 2014
关键词knowledge representation and reasoning; opinion mining and sentiment analysis; social computing system
版次1
doihttps://doi.org/10.1007/978-3-662-45558-6
isbn_softcover978-3-662-45557-9
isbn_ebook978-3-662-45558-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag Berlin Heidelberg 2014
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Conference proceedings 2014 November 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 101 submissions. The papers focus on the following topics: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/s/image/869642.jpg
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Heyan Huang,Ting Liu,Jie TangFast-track conference proceedings.State-of-the-art research.Up-to-date results
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978-3-662-45557-9Springer-Verlag Berlin Heidelberg 2014
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Microblog Sentiment Analysis with Emoticon Space Model,ssive amount unlabeled data. By projecting words and microblog posts into an emoticon space, the proposed model helps identify subjectivity, polarity and emotion in microblog environments. The experimental results for a public microblog benchmark corpus (NLP&CC 2013) indicate that the ESM effectivel
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