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IEEE Transactions on Computational Social Systems Information for Authors 电气和电子工程师学会计算社会系统论文集 作者信息
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-10-02 DOI: 10.1109/TCSS.2024.3457715
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引用次数: 0
Computational Aids on Mental Health: Revolutionizing Care in the Digital Age 心理健康计算辅助工具:数字时代的护理革命
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-10-02 DOI: 10.1109/TCSS.2024.3458128
Shiqiu Meng;Jie Shi;Bin Hu
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-10-02 DOI: 10.1109/TCSS.2024.3457713
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引用次数: 0
IEEE Transactions on Computational Social Systems Publication Information 电气和电子工程师学会《计算社会系统期刊》出版信息
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-10-02 DOI: 10.1109/TCSS.2024.3457711
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引用次数: 0
SINCERE: A Hybrid Framework With Graph-Based Compact Textual Models Using Emotion Classification and Sentiment Analysis for Twitter Sarcasm Detection SINCERE:基于图的紧凑型文本模型的混合框架,使用情感分类和情感分析进行 Twitter 讽刺检测
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-08-28 DOI: 10.1109/TCSS.2023.3315754
Axel Rodríguez;Yi-Ling Chen;Carlos Argueta
Sarcasm is an expression of contempt expressed through verbal irony. It is a nuanced form of language that individuals use to imply the opposite of what they are actually saying, and thus it can be difficult to detect at times. The lack of large, annotated datasets is one of the major challenges and limitations of building systems to detect sarcasm automatically. To address this issue, we propose a hybrid graph-based framework, namely, SINCERE, to build compact sarcasm detection models with sentiment and emotion analysis by leveraging only a small amount of prior data. To automatically extract patterns from a small dataset collected by distant supervision, a graph is first constructed. This approach is used to discover latent representations of vertices in a network, as the basis for a language model. We demonstrate that simple classifiers built from the model can detect sarcasm and generalize better than the state-of-the-art approach. According to the experimental results, the proposed SINCERE framework is able to outperform the SOTA baselines on accuracy by 5%.
讽刺是一种通过语言反讽表达蔑视的方式。它是一种微妙的语言形式,个人用它来暗示与他们实际所说的相反,因此有时很难检测到。缺乏大型注释数据集是构建自动检测讽刺系统的主要挑战和限制之一。为了解决这个问题,我们提出了一个基于图的混合框架,即 SINCERE,它只需利用少量的先验数据,就能建立具有情感和情绪分析功能的紧凑型讽刺语言检测模型。为了从远距离监督收集的小型数据集中自动提取模式,我们首先构建了一个图。这种方法用于发现网络中顶点的潜在表征,作为语言模型的基础。我们证明,根据该模型建立的简单分类器可以检测讽刺语言,而且泛化效果优于最先进的方法。实验结果表明,所提出的 SINCERE 框架在准确性上比 SOTA 基线高出 5%。
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引用次数: 0
Guest Editorial: Special Issue on Dark Side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation 特邀编辑:社会网络世界的黑暗面》特刊:媒体操纵、假新闻和错误信息
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-08-16 DOI: 10.1109/TCSS.2024.3426788
Gwanggil Jeon;Xiaochun Cheng;Abdellah Chehri;Giancarlo Fortino;Marcelo Albertini;Shiping Wen
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引用次数: 0
Corrections to “Opinion Dynamic Games Under One Step Ahead Optimal Control” 对 "先行一步最优控制下的意见动态博弈 "的更正
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-08-16 DOI: 10.1109/TCSS.2024.3408596
Gabriel Gentil;Amit Bhaya
We add a missing hypothesis, inadvertently omitted in [1], to Theorems 1, 2, and 3, namely that the sets of agents (nodes) influenced by players are disjoint. All the experimental results and simulations shown in the article satisfy the disjoint set hypothesis and remain valid, with no changes. The abstract and conclusion are modified to include the words “disjoint set” (of agents).
我们在定理 1、2 和 3 中添加了一个在 [1] 中无意中遗漏的假设,即受玩家影响的代理(节点)集合是不相交的。文章中显示的所有实验结果和模拟都满足 "不相交集合 "假设,并且仍然有效,没有任何改动。对摘要和结论进行了修改,加入了 "不相交集合"(代理人集合)字样。
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引用次数: 0
Constructing an Optimal Prediction System for Infectious Disease 构建传染病最佳预测系统
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-08-16 DOI: 10.1109/TCSS.2024.3427222
Jianping Huang;Licheng Li;Siyu Chen;Bin Chen;DanFeng Wang;Bin Hu
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引用次数: 0
Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP 特邀编辑:关于在 NLP 中生成人类可读解释的特刊
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-08-16 DOI: 10.1109/TCSS.2024.3427223
Imran Razzak;Reda Bouadjenek;Aamir Cheema;Ibrahim A. Hameed;Guandong Xu;Amin Beheshti
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引用次数: 0
IEEE Transactions on Computational Social Systems Information for Authors 电气和电子工程师学会计算社会系统论文集 作者信息
IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2024-08-16 DOI: 10.1109/TCSS.2024.3427211
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引用次数: 0
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IEEE Transactions on Computational Social Systems
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