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20112023
most citedComparing and Combining Sentiment Analysis Methods

376 citations · 1.2k across the 40 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.CV2020★ 9 cited

Improving Unsupervised Image Clustering With Robust Learning

Sungwon Park, Sungwon Han, Sundong Kim +4

Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results. To overc…

physics.soc-ph2020★ 1 cited

Disruption in the Chinese E-Commerce During COVID-19

Yuan Yuan, Muzhi Guan, Zhilun Zhou +4

The recent outbreak of the novel coronavirus (COVID-19) has infected millions of citizens worldwide and claimed many lives. This paper examines its impact on the Chinese e-commerce…

cs.LG2020

Active Learning for Human-in-the-Loop Customs Inspection

Sundong Kim, Tung-Duong Mai, Sungwon Han +5

We study the human-in-the-loop customs inspection scenario, where an AI-assisted algorithm supports customs officers by recommending a set of imported goods to be inspected. If the…

cs.CY2020★ 46 cited

Collecting the Public Perception of AI and Robot Rights

Gabriel Lima, Changyeon Kim, Seungho Ryu +2

Whether to give rights to artificial intelligence (AI) and robots has been a sensitive topic since the European Parliament proposed advanced robots could be granted "electronic per…

cs.SI2020★ 10 cited

Risk Communication in Asian Countries: COVID-19 Discourse on Twitter

Sungkyu Park, Sungwon Han, Jeongwook Kim +6

COVID-19 has become one of the most widely talked about topics on social media. This research characterizes risk communication patterns by analyzing the public discourse on the nov…

cs.CY2020

COVID-19 Vaccine Acceptance in the US and UK in the Early Phase of the Pandemic: AI-Generated Vaccines Hesitancy for Minors, and the Role of Governments

Gabriel Lima, Meeyoung Cha, Chiyoung Cha +1

This study presents survey results of the public's willingness to get vaccinated against COVID-19 during an early phase of the pandemic and examines factors that could influence va…

cs.CY2020★ 7 cited

Responsible AI and Its Stakeholders

Gabriel Lima, Meeyoung Cha

Responsible Artificial Intelligence (AI) proposes a framework that holds all stakeholders involved in the development of AI to be responsible for their systems. It, however, fails…

cs.SI2020

"Trust me, I have a Ph.D.": A Propensity Score Analysis on the Halo Effect of Disclosing One's Offline Social Status in Online Communities

Kunwoo Park, Haewoon Kwak, Hyunho Song +1

Online communities adopt various reputation schemes to measure content quality. This study analyzes the effect of a new reputation scheme that exposes one's offline social status,…

cs.CY2020★ 25 cited

The Conflict Between People's Urge to Punish AI and Legal Systems

Gabriel Lima, Meeyoung Cha, Chihyung Jeon +1

Regulating artificial intelligence (AI) has become necessary in light of its deployment in high-risk scenarios. This paper explores the proposal to extend legal personhood to AI an…

cs.LG2020★ 2 cited

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm

Sungwon Han, Yizhan Xu, Sungwon Park +2

Unsupervised embedding learning aims to extract good representation from data without the need for any manual labels, which has been a critical challenge in many supervised learnin…