A5058620480- Sentiment Analysis and Opinion Mining
- Digital Marketing and Social Media
- Advanced Text Analysis Techniques
- Service-Oriented Architecture and Web Services
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Web Data Mining and Analysis
- Advanced Computational Techniques and Applications
- Recommender Systems and Techniques
- Topic Modeling
- Complex Network Analysis Techniques
- Technology Adoption and User Behaviour
- FinTech, Crowdfunding, Digital Finance
- Fluid Dynamics and Turbulent Flows
- Spam and Phishing Detection
- Job Satisfaction and Organizational Behavior
- Consumer Market Behavior and Pricing
- Natural Language Processing Techniques
- Big Data and Business Intelligence
- Turbomachinery Performance and Optimization
- Advanced Database Systems and Queries
- Opinion Dynamics and Social Influence
- Sharing Economy and Platforms
- Team Dynamics and Performance
- Microfinance and Financial Inclusion
Tongji University
2015-2025
General Hospital of Shenyang Military Region
2024-2025
Shanghai University of Electric Power
2024
Beihang University
2003-2023
Zhejiang University of Science and Technology
2023
Shanghai Skin Disease Hospital
2022
Dalian Medical University
2013-2020
Beijing Institute of Technology
2019
Microsoft Research Asia (China)
2018
Shanghai Jiao Tong University
2018
Online news recommender systems aim to address the information explosion of and make personalized recommendation for users. In general, language is highly condensed, full knowledge entities common sense. However, existing methods are unaware such external cannot fully discover latent knowledge-level connections among news. The recommended results a user consequently limited simple patterns be extended reasonably. Moreover, also faces challenges high time-sensitivity dynamic diversity users'...
Summary Promoting shared leadership in teams and enhancing team creativity is aided by complementarity between leader member characteristics. We integrate insights from social learning theory dominance perspective with the literature to explore facilitating role of formal participative for indirectly promoting leadership. The relationships among leadership, are bounded voice behavior creative efficacy. To test our theoretical model, we collected multisource multiwave survey data 382 members...
In the context of social commerce, influence culture on consumers’ behavior and attitude is more significant. This paper empirically analyzes interaction (perceived risk, trust, intimacy) purchase intention in antecedent effect cultural dimensions (uncertainty avoidance individualism/collectivism) also explored. Data were collected China France from consumers who had prior online shopping experience commerce websites. The results show that impact perceived risk subsequent will be transferred...
Risk factors for noncontiguous spinal fractures (NSFs), which are important early, timely diagnoses and treatments of elderly individuals with traumatic fractures, have not been discussed in depth. Thus, this study aimed to investigate the risk (NSFs). The records 1,415 patients (aged 60 years over) who presented TSFs between 2013 2019 were retrospectively reviewed. patients' clinical radiographic divided into an NSF group (n=281 patients) a control (n=1,134 patients). Univariate analysis...
This study develops and tests a model based on the conservation of resources theory presents an underlying mechanism linking social media ostracism with lurking intentions users. The proposed suggests that emotional exhaustion is mediating to intentions. In addition, we examine whether or not psychological resilience users serves as boundary condition weakens effects exhaustion. Results moderated mediation analysis sample 363 employees in China support conceptual model. Empirical findings...
The electronic word-of-mouth (e-WOM) is one of the most important among all factors affecting consumers' behaviours. Opinions towards a product through online reviews will influence purchase decisions other consumers by changing their perceptions on quality. Furthermore, each aspect may impact intentions differently. Thus, sentiment analysis and econometric models are incorporated to examine relationship between aspect-opinion pairs, which enable weight estimation for aspect. We first...
Purpose – Extant methods of product weakness detection usually depend on time-consuming questionnaire with high artificial involvement, so the efficiency and accuracy are not satisfied. The purpose this paper is to propose an opinion-aware analytical framework PRODWeakFinder expect detect weaknesses through sentiment analysis in effective way. Design/methodology/approach detects by considering both comparative non-comparative evaluations online reviews. For evaluation, aspect-oriented...
The sentiment implied in user generated content represents the authors' personality, attitude, education level and social status. In Crowdfunding, sentimental factor of text description may impact backers' investment intention on project. authors study textual from aspect pledge results by employing mining. proves that positive blurb detailed promotes successful campaigns while it should not contain any title. predictive analysis shows accuracy can be improved 7% based baseline model after...
The construction industry is a multiteam continuum, where in addition to the civil engineers, wide array of experts and tradesmen provide necessary inputs complete projects on time schedule. Such essential are provided by skilled teams working parallel along with but through separate leaders who usually led project manager often engineer or an architect. However, it growing concern that if such given more autonomy form shared leadership, can lead extended team creativity project. This study...
The processing and disposal of municipal solid waste (MSW) are global problems, particularly in low- to middle-income states like Pakistan. These economic systems will need tackle problems regarding accomplish a sustainable future management. Still, the determination MSW procedures is frequently influenced by unstable, vague, inadequately stated criteria. To deal with this issue, we designed an interactive model that uses intuitionistic fuzzy hypersoft sets (IFHSSs) find optimal...
Sentiment analysis of microblogging texts can facilitate both organisations’ public opinion monitoring and governments’ response strategies development. Nevertheless, most the existing methods are conducted on Twitter, lacking sentiment Chinese Weibo, they generally rely a large number manually annotated training or machine learning to perform classification, yielding with difficulties in application. This paper addresses these problems employs ontology model examine microblogging. We...