Yinping Yang
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View article: Predicting public mental health needs in a crisis using social media indicators: a Singapore big data study
Predicting public mental health needs in a crisis using social media indicators: a Singapore big data study Open
View article: Predicting public mental health needs in a crisis using situational indicators and social media emotions: A Singapore big data study
Predicting public mental health needs in a crisis using situational indicators and social media emotions: A Singapore big data study Open
Mental health issues and needs have increased substantially since the onset of the COVID-19 pandemic. However, health policy and decision-makers do not have adequate data and tools to predict population-level mental health demand, especial…
View article: How People Respond to the COVID-19 Pandemic on Twitter: A Comparative Analysis of Emotional Expressions from US and India
How People Respond to the COVID-19 Pandemic on Twitter: A Comparative Analysis of Emotional Expressions from US and India Open
The COVID-19 pandemic has claimed millions of lives worldwide and elicited heightened emotions. This study examines the expression of various emotions pertaining to COVID-19 in the United States and India as manifested in over 54 million t…
View article: Harmonic Analysis of Electric Transmission System of New Energy Vehicle
Harmonic Analysis of Electric Transmission System of New Energy Vehicle Open
In order to improve the cruising range of new energy electric vehicles and solve the low efficiency of electric transmission system in low-speed driving stage, a space vector pulse width modulation algorithm is proposed. The simulation mod…
View article: Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities
Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities Open
Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving. In recent years, a growing number of studies have recognized the benefits of empathy and started to incorporate empathy in conversational system…
View article: Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities
Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities Open
Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving. In recent years, a growing number of studies have recognized the benefits of empathy and started to incorporate empathy in conversational system…
View article: The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States
The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States Open
Background Public sentiments are an important indicator of crisis response, with the need to balance exigency without adding to panic or projecting overconfidence. Given the rapid spread of the COVID-19 pandemic, governments have enacted v…
View article: Optimal Coordinated Bidding Strategy of Wind and Solar System with Energy Storage in Day-ahead Market
Optimal Coordinated Bidding Strategy of Wind and Solar System with Energy Storage in Day-ahead Market Open
Although wind and solar power is the major reliable renewable energy sources used in power grids, the fluctuation and unpredictability of these renewable energy sources require the use of ancillary services, thereby increasing the integrat…
View article: The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States (Preprint)
The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States (Preprint) Open
BACKGROUND Public sentiments are an important indicator of crisis response, with the need to balance exigency without adding to panic or projecting overconfidence. Given the rapid spread of the COVID-19 pandemic, governments have enacted …
View article: Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes
Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes Open
This paper presents a large, labelled dataset on people's responses and expressions related to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 Jan 2021, we retrieved over 132 million public Twitter posts (i.e., t…
View article: SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features Open
This paper describes a system developed for detecting propaganda techniques from news articles. We focus on examining how emotional salience features extracted from a news segment can help to characterize and predict the presence of propag…
View article: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes Open
This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collected and processed over 252 million Twitter posts from more th…
View article: Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends
Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends Open
Background With the World Health Organization’s pandemic declaration and government-initiated actions against coronavirus disease (COVID-19), sentiments surrounding COVID-19 have evolved rapidly. Objective This study aimed to examine world…
View article: The Contextual Dynamics of Multimodal Emotion Recognition in Videos
The Contextual Dynamics of Multimodal Emotion Recognition in Videos Open
Emotional expressions form a key part of user behavior on today's digital platforms. While multimodal emotion recognition techniques are gaining research attention, there is a lack of deeper understanding on how visual and non-visual featu…
View article: Exploring the contextual factors affecting multimodal emotion recognition in videos
Exploring the contextual factors affecting multimodal emotion recognition in videos Open
Emotional expressions form a key part of user behavior on today's digital platforms. While multimodal emotion recognition techniques are gaining research attention, there is a lack of deeper understanding on how visual and non-visual featu…
View article: Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends (Preprint)
Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends (Preprint) Open
BACKGROUND With the World Health Organization’s pandemic declaration and government-initiated actions against coronavirus disease (COVID-19), sentiments surrounding COVID-19 have evolved rapidly. OBJECTIVE This study aimed to examine wo…
View article: SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda Using Sentence-Level Emotional Salience Features
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda Using Sentence-Level Emotional Salience Features Open
This paper describes a system developed for detecting propaganda techniques from news articles. We focus on examining how emotional salience features extracted from a news segment can help to characterize and predict the presence of propag…
View article: Interval Optimization-Based Unit Commitment for Deep Peak Regulation of Thermal Units
Interval Optimization-Based Unit Commitment for Deep Peak Regulation of Thermal Units Open
The deep peak regulation of thermal units is an important measure for coping with significant wind power penetration. In this paper, based on interval optimization, a novel multi-objective unit commitment method is proposed considering the…
View article: CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons
CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons Open
While sentiment and emotion analysis has received a considerable amount of research attention, the notion of understanding and detecting the intensity of emotions is relatively less explored. This paper describes a system developed for pre…
View article: Numerical methods for the inverse dynamics simulation of underactuated mechanical systems
Numerical methods for the inverse dynamics simulation of underactuated mechanical systems Open
The present work deals with the inverse dynamics simulation of underactuated multibody systems. In particular, the study focuses on solving trajectory tracking control problems of differentially flat underactuated systems. The use of servo…
View article: CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification Open
This paper describes a system developed for a shared sentiment analysis task and its subtasks organized by SemEval-2017. A key feature of our system is the embedded ability to detect sarcasm in order to enhance the performance of sentiment…
View article: Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A(H7N9) outbreak in China
Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A(H7N9) outbreak in China Open
We conducted in-depth analysis on the use of a popular Chinese social networking and microblogging site, Sina Weibo, to monitor an avian influenza A(H7N9) outbreak in China and to assess the value of social networking sites in the surveill…