Titlebook: Social Media Processing; 6th National Confere Xueqi Cheng,Weiying Ma,Xing Xie Conference proceedings 2017 Springer Nature Singapore Pte Ltd

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书目名称Social Media Processing影响因子(影响力)




书目名称Social Media Processing影响因子(影响力)学科排名




书目名称Social Media Processing网络公开度




书目名称Social Media Processing网络公开度学科排名




书目名称Social Media Processing被引频次




书目名称Social Media Processing被引频次学科排名




书目名称Social Media Processing年度引用




书目名称Social Media Processing年度引用学科排名




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书目名称Social Media Processing读者反馈学科排名

Limpid

Supervised Hashing for Multi-labeled Data with Order-Preserving Feature in large-scale image retrieval tasks. However, most of the existing hashing methods are designed for single-labeled data. On multi-labeled data, those hashing methods take two images as similar if they share at least one common label. But this way cannot preserve the order relations in multi-labele

精美食品

Inferring User Profile Using Microblog Content and Friendship Networkmendation, and legal investigation. Microblog users post rich contents everyday and build a complex friendship network with “following” behaviors. Both of user-generated content and friendship network are crucial for user profiling. In this work, we propose a neural-network based model for user prof

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核心

Prediction of Cascade Structure and Outbreaks Recurrence in Microblogsently structure properties of viral cascades are quantified and characterized due to available diffusion datasets and increasing knowledge towards it. The virality of structure is a notion for characterizing structural diversity of cascades, but relationship between structural virality and shape of

aristocracy

Exploring Effective Methods for On-line Societal Risk Classification and Feature Mininghe mission to a harmonious society. On-line community concerns have been mapped into respective societal risks and support vector machine model has been used for risk multi-classification on Baidu hot news search words (HNSW). Different from traditional text classification, societal risk classificat

允许

A Markov Chain Monte Carlo Approach for Source Detection in Networks in theory and practice. However, due to the hardness of this task, traditional techniques may suffer biased solution and extraordinary time complexity. Specially, source detection task based on the widely used Linear Threshold (LT) model has been largely ignored. To that end, in this paper, we form

Offset

Neural Chinese Word Segmentation as Sequence to Sequence Translationing problem which construct models based on local features rather than considering global information of input sequence. In this paper, we cast the CWS as a sequence translation problem and propose a novel sequence-to-sequence CWS model with an attention-based encoder-decoder framework. The model ca

门窗的侧柱

Attention-Based Memory Network for Sentence-Level Question Answering and answer a corresponding question with an answer sentence selected from the news article. Recently, several deep neural networks have been proposed for sentence-level QA. For the best of our knowledge, none of them explicitly use keywords that appear simultaneously in questions and documents. In

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