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Titlebook: Social Media Processing; 4th National Confere Xichun Zhang,Maosong Sun,Xuanjing Huang Conference proceedings 2015 Springer Science+Business

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发表于 2025-3-21 17:12:18 | 显示全部楼层 |阅读模式
书目名称Social Media Processing
副标题4th National Confere
编辑Xichun Zhang,Maosong Sun,Xuanjing Huang
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Social Media Processing; 4th National Confere Xichun Zhang,Maosong Sun,Xuanjing Huang Conference proceedings 2015 Springer Science+Business
描述This book constitutes the thoroughly refereed papers of the 4th National Conference of Social Media Processing, SMP 2015, held in Guangzhou, China, in November 2015..The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 105 submissions. The papers address issues such as: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media processing problems.
出版日期Conference proceedings 2015
关键词Social media processing; Social media analysis; Social media mining; Opinion mining and sentiment analy
版次1
doihttps://doi.org/10.1007/978-981-10-0080-5
isbn_softcover978-981-10-0079-9
isbn_ebook978-981-10-0080-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Science+Business Media Singapore 2015
The information of publication is updating

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978-981-10-0079-9Springer Science+Business Media Singapore 2015
发表于 2025-3-22 00:32:37 | 显示全部楼层
Social Media Processing978-981-10-0080-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-981-10-0080-5Social media processing; Social media analysis; Social media mining; Opinion mining and sentiment analy
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Personalized Microtopic Recommendation with Rich Information,ian model integrating user adoption behaviors, user item content information, and rich contextual information into the same principled model. We experiment with different kinds of textual and contextual information from both user and microtopic sides on a real dataset. Experimental results show that
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PRISM: Profession Identification in Social Media with Personal Information and Community Structure,elonging to different professions. (2) We present a multi-training process to take advantages of both labeled and unlabeled data to enhance classification performance. (3) We design a profession identification method synthetically considering the confidences from personal features and community stru
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Hybrid Model Based Influenza Detection with Sentiment Analysis from Social Networks,me of flu that we can find out which place is more likely for influenza outbreak and when is more likely for influenza outbreak in one city or a province in China. Experimental results on detecting flu situation during certain time in some locations show the robustness and effectiveness of the propo
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