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Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 13th International C Imed Romdhani,Lei Shu,Deze Zeng Conference proceedi

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书目名称Collaborative Computing: Networking, Applications and Worksharing
副标题13th International C
编辑Imed Romdhani,Lei Shu,Deze Zeng
视频videohttp://file.papertrans.cn/230/229414/229414.mp4
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 13th International C Imed Romdhani,Lei Shu,Deze Zeng Conference proceedi
描述.This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2017, held in Edinburgh, UK, in December 2017. The 65 papers presented were carefully reviewed and selected from 103 submissions and focus on electronic collaboration between distributed teams of humans, computer applications, and autonomous robots to achieve higher productivity and produce joint products. .
出版日期Conference proceedings 2018
关键词ad hoc networks; artificial intelligence; computer networks; computer systems; data communication system
版次1
doihttps://doi.org/10.1007/978-3-030-00916-8
isbn_softcover978-3-030-00915-1
isbn_ebook978-3-030-00916-8Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018
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Sentiment Analysis of Chinese Words Using Word Embedding and Sentiment Morpheme Matching expanding step is added into the morpheme matching method, which can significantly improve the recognition ratio of the sentiment morpheme matching method. The performance of CSWP is evaluated through extensive experiments on 20000 users’ comments. Experimental results show that the proposed CSWP m
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Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Ititudes on interrelationships are related to some typical topological factors. These results inspire us to measure individuals’ attitude in online collaboration with their topological factors in social network.
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https://doi.org/10.1057/9780230502697 expanding step is added into the morpheme matching method, which can significantly improve the recognition ratio of the sentiment morpheme matching method. The performance of CSWP is evaluated through extensive experiments on 20000 users’ comments. Experimental results show that the proposed CSWP m
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Sexual Orientation Equality in Schoolsbe effectively balanced. We conduct several comprehensive experiments to evaluate the effectiveness of our model using reallife datasets. The results demonstrate that our approach could significantly improve the detection accuracy compared with traditional machine learning approaches.
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1867-8211 from 103 submissions and focus on electronic collaboration between distributed teams of humans, computer applications, and autonomous robots to achieve higher productivity and produce joint products. .978-3-030-00915-1978-3-030-00916-8Series ISSN 1867-8211 Series E-ISSN 1867-822X
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