Muni Zhuang
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View article: High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery
High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery Open
The escalating energy crisis has spurred extensive research into organic compounds for energy-efficient applications, taking advantage of their environmental friendliness, cost-effective synthesis, and adaptable molecular structures. Tradi…
View article: High-Accuracy Physical Property Prediction for Organics via Molecular Representation Learning: Bridging Data to Discovery
High-Accuracy Physical Property Prediction for Organics via Molecular Representation Learning: Bridging Data to Discovery Open
The ongoing energy crisis has underscored the urgent need for energy-efficient materials with high energy utilization efficiency, prompting a surge in research into organic compounds due to their environmental compatibility, cost-effective…
View article: Postgraduate psychological stress detection from social media using BERT-Fused model
Postgraduate psychological stress detection from social media using BERT-Fused model Open
Postgraduate students face various academic, personal, and social stressors that increase their risk of anxiety, depression, and suicide. Identifying cost-effective methods of detecting and intervening before stress turns into severe probl…
View article: Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model
Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model Open
The COVID-19 pandemic has created unprecedented burdens on people’s health and subjective well-being. While countries around the world have established models to track and predict the affective states of COVID-19, identifying the topics of…
View article: Analysis of public opinion evolution of COVID-19 based on LDA-ARMA hybrid model
Analysis of public opinion evolution of COVID-19 based on LDA-ARMA hybrid model Open
The aim of this study was to explore a method for developing an emotional evolution classification model for large-scale online public opinion of events such as Coronavirus Disease 2019 (COVID-19), in order to guide government departments …
View article: An Analysis of the Emotional Evolution of Large-Scale Internet Public Opinion Events Based on the BERT-LDA Hybrid Model
An Analysis of the Emotional Evolution of Large-Scale Internet Public Opinion Events Based on the BERT-LDA Hybrid Model Open
The purpose of this article is to analyse the emotional evolution of the netizens in reaction to the events of the Anti-ELAB (Anti-Extradition Law Amendment Bill) movement in Hong Kong. We attempt to investigate evolving laws of large-scal…