social media投稿

2024-11-06

外文投稿时应该如何填写有关Social Media的问题?

外文投稿时应该如何填写有关Social Media的问题? 1 *Please supply our social media editor with a "tweet" or short blurb about your article, which may or may not be used or edited at the discretion of the journal, by inserting a message here (250 character limit) 2

Social Media POC KT Session

地址: 1. http://c0048925.itcs.hp.com:8080/datamining/report/brandfocus.html Social Media POC是针对Social Hub项目的一个扩展,由于Autonomy对于中文库的支持的不足,所以Social Media POC主要针对的是新浪微博中国的online-store来进行的项目.主要对社交媒体进行监控,分析和预测.其中包含有:焦点话题.聚类话题.用户画像等模块.cluster view. 情感分析,主要用于对H

3 Financial Services Social Media Success Storie

As financial services firms step-up their use of social media, we’ve been looking for some early success stories. Here are three great ones: The Rock Group (a Morgan Stanley company) generated 28% of their revenues from social media in 2011, includin

Case Studies: Retail and Investment Banks Use of Social Media

The past couple of months have seen an increased acknowledgement of the role social media has to play in the development of the financial services sector. Industry forums like Finextra's Live Social Media Days held in London and New York and the ina

论文阅读 | CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data

CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data 论文地址 1 Abstract 这是一个可以预测未来一段时间内所发生事情的可视化系统,使用的是twitter数据进行分析. 2 Introduction 识别一个未来的事件并不可以依靠消息量的突增来判断(一般一个很大的事件的到来会引发交际圈的热烈讨论),一个未来时间的发生并不一定可以激发消息量的增

每日英语：Bosses May Use Social Media to Discriminate Against Job Seekers

Many companies regularly look up job applicants online as part of the hiring process. A new study suggests they may also use what they find to discriminate. discriminate against:歧视,排斥 look up:查阅,仰望,拜访 The study, a Carnegie Mellon University experimen

Social media users of the world unite!

Social media users of the world unite!全世界社交媒体用户联合起来!If Plato were alive today, he might well regard much of the work we do as leisure, and much of theleisure we enjoy as work. Those extravagantly paid Davosian chief executives who jet around theworld

Social Media Addiction【社交媒体上瘾】

Social Media Addiction Children as young as ten are becoming dependent on social media for their sense of self-worth, a major study warned. 一项重大的研究警告称,年仅10岁的孩子正变得依赖社交媒体来获得自我价值感. It found many youngsters now measure their status by how much public app

通过整合遥感数据和社交媒体数据来进行城市土地利用的分类（ Classifying urban land use by integrating remote sensing and social media data）DOI: 10.1080/13658816.2017.1324976 20.0204

Classifying urban land use by integrating remote sensing and social media data Xiaoping Liu, Jialv He, Yao Yao, Jinbao Zhang, Haolin Liang, Huan Wang & YeHong 摘要研究方向的重要性(有意义): 城市土地使用信息在城市管理.政府政策制定.和人类活动监测方面扮演着重要的角色. However,存在的困难: 由于城市系统的复杂性,将城市功能

css social media

css social media https://realfavicongenerator.net/ https://css-tricks.com/favicon-quiz/ <!DOCTYPE html> <html lang="zh-Hans" manifest="manifest.appcache">  <head> <!-- <meta charset=&

谣言检测——(GCAN)《GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media》

论文信息论文标题:GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media论文作者:Yi-Ju Lu, Cheng-Te Li论文来源:2020, ACL论文地址:download 论文代码:download 1 Abstract 目的:预测源推文是否是假的,并通过突出显示可疑的转发者上的证据和他们所关心的词语来产生解释. 2 Introduction 我们预测一个源推

谣言检测（GACL）《Rumor Detection on Social Media with Graph Adversarial Contrastive Learning》

论文信息论文标题:Rumor Detection on Social Media with Graph AdversarialContrastive Learning论文作者:Tiening Sun.Zhong Qian.Sujun Dong论文来源:2022, WWW论文地址:download论文代码:download Abstract 尽管基于GNN的方法在谣言检测领域取得了一些成功,但是这些基于交叉熵损失的方法常常导致泛化能力差,并且缺乏对一些带有噪声的或者对抗性的样本的鲁棒性,尤其是一

谣言检测（PSIN）——《Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media》

论文信息论文标题:Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media论文作者:Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang,Sophia Ananiadou论文来源:2022,WWW 论文地址:download 论文代码:download Background 挑战: (

谣言检测（RDEA）《Rumor Detection on Social Media with Event Augmentations》

论文信息论文标题:Rumor Detection on Social Media with Event Augmentations论文作者:Zhenyu He, Ce Li, Fan Zhou, Yi Yang论文来源:2021,SIGIR论文地址:download论文代码:download 1 Introduction 现有的深度学习方法取得了巨大的成功,但是这些方法需要大量可靠的标记数据集来训练,这是耗时和数据低效的.为此,本文提出了 RDEA ,通过事件增强在社交媒体上的谣言检测(RDE

谣言检测（DUCK）《DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks》

论文信息论文标题:DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks论文作者:Lin Tian, Xiuzhen Zhang, Jey Han Lau论文来源:2022,NAACL论文地址:download 论文代码:download 1 Introduction 本文的模型研究了如何充分利用用户和评论信息,对比之前的方法,有以下不同: (1) we model co

Recommending branded products from social media -RecSys 2013-20160422

1.Information publication:RecSys 2013 author:zhengyong zhang 2.What 是对上一篇论文的拓展:利用社交媒体中用户信息对用户购买的类别排序:再由预测出的类别,做商品品牌的推荐 3.Dataset Facebook-Eaby 4.How input: 用户社交媒体上特征向量 output: top k 的推荐商品品牌 method:最接近邻居推荐KNN(Like-based/purchased-based KNN) , 相关联商品的联

ionic cordova social media sharing plugin

https://github.com/EddyVerbruggen/SocialSharing-PhoneGap-Plugin.git 从上面的连接下载插件 1.肯定是要加入下面的那个文件的吖从这里下载 ngCordova.min.js 2. 不要忘记了在app.js 中注入 ngCordova angular.module('starter', ['ionic', 'ngCordova']) 3. 在控制器中注意:不要忘记注入 $cordovaSocialSharing ,不然会

A context-aware personalized travel recommendation system based on geotagged social media data mining

文章简介:利用社交网站Flickr上照片的geotag信息将这些照片聚类发现城市里的旅游景点,通过各照片的拍照时间得到用户访问某景点时的时间上下文和天气上下文(利用时间和public API of Wunderground),将访问景点的上下文进行排序得到popular的上下文作为景点的上下文.在给用户作推荐时,首先得到用户当前的上下文或者要访问景点的上下文,利用上下文匹配出一些景点,然后在这些景点里头根据user-based collaborative filtering方法进行推荐,user

项目总结笔记系列 Social Hub KT Session1

项目后台访问地址: URL:http://socialhub-itg-app.itcs.hp.com/data_feed_service/main.jsp 或者URL:http://c0048925.itcs.hp.com:8080/data_feed_service/main.jsp 如上图所示,是项目架构图.项目描述:通过从Social Media,(如facebook twitter google)抓取数据.将抓取的文本文件.图片文件.视频.音频文件交给上层处理.其中Autonomy负责在

如何利用Social Listening从社会化媒体中“提炼”有价值的信息？

本文转自知乎作者:苏格兰折耳喵 ----------------------------------------------------- 在本文中,笔者将会介绍大数据分析主要的处对象---社会化媒体(Social Media),以及对社会化媒体进行分析的重要手段--社会化聆听(Social Listening).最后,笔者将以汽车行业的一个实操案例,来讲述如何使用社会化聆听(工具)来对社会化媒体大数据进行分析. 0 楔子 "大数据"一直是最近几年全球很火的概念.搜索关键词"

social media投稿

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