Hidden social networks analysis by semantic mining of noisy corpora

机译：嘈杂语料库的语义挖掘对隐藏的社交网络进行分析

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摘要

The present work proposes a paradigm for the analysis of social networks hidden within incomplete data models, based on the semantic mining of noisy corpora. A proof of concept is implemented and experimented on a partial database resulting from the capture of short text messages in line with the international project `Sms4science'.

机译：本工作提出了一种基于嘈杂语料库的语义挖掘来分析隐藏在不完整数据模型中的社交网络的范例。根据国际项目“ Sms4science”，在捕获短文本消息后得到的部分数据库上实施了概念验证并进行了实验。

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《Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining》|2016年|868-875|共8页
会议地点 San Francisco(US)
作者
Christophe Thovex;
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作者单位

Laboratory of Computer Sciences Nantes Atlantique (LINA, UMR CNRS 6241), Université de Nantes, 2 rue de la Houssinière, BP 92208 - 44322 Nantes, France;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Semantics; Social network services; Data mining; Noise reduction; Software; Noise measurement;

机译：语义;社交网络服务;数据挖掘;降噪;软件;噪声测量;

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3. Introduction to the second issue of Social Network Analysis and Mining journal: scientific computing for social network analysis and dynamicity [J] . Reda Alhajj, Nasrullah Memon Social network analysis and mining . 2011,第2期

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4. Hidden social networks analysis by semantic mining of noisy corpora [C] . Christophe Thovex IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining . 2016

机译：Noisy Corpora的语义挖掘隐藏的社交网络分析
5. Modeling social systems processes found in *text corpora through windowed latent semantic analysis and simulation of concept refreshment events. [D] . Weaver, Christopher Adrian. 2005

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6. Social Network Representation and Dissemination of Pre-Exposure Prophylaxis (PrEP): A Semantic Network Analysis of HIV Prevention Drug on Twitter [O] . Zheng An, Margaret McLaughlin, Jinghui Hou, -1

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7. A Perspective Analysis of Hidden Community Mining Methods in Large Scale Social Networks [O] . Renuga Devi R, Hemalatha M 2013

机译：大规模社会网络中隐性社区挖掘方法的透视分析

Hidden social networks analysis by semantic mining of noisy corpora

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