Projects per year
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- 2 Similar Profiles
Marketing
Engineering & Materials Science
Social Media
Medicine & Life Sciences
Semantics
Engineering & Materials Science
Search engines
Engineering & Materials Science
Collaborative filtering
Engineering & Materials Science
Artificial intelligence
Engineering & Materials Science
Experiments
Engineering & Materials Science
Public health
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2014 2019
- 1 Active
Understanding E-Cigarette Adoption and Marketing: A Social Media Study
6/15/14 → 5/31/19
Project: Research project › Research Project
Marketing
Health
Nicotine
Tobacco
Drug products
Research Output 1995 2018
Building a large-scale testing dataset for conceptual semantic annotation of text
Wei, X., Zeng, D., Luo, X. & Wu, W., Jan 1 2018, In : International Journal of Computational Science and Engineering. 16, 1, p. 63-72 10 p.Research output: Contribution to journal › Article
Semantic Annotation
Ontology
Semantics
Testing
Evaluate
Catching Dynamic Heterogeneous User Data for Identity Linkage Learning
Lei, F., Li, Q., Sun, S., Wang, L. & Zeng, D., Oct 10 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. 8489332Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Fusion reactions
Deep learning
2
Citations
Concept evolution analysis based on the Dissipative Structure of Concept Semantic Space
Wei, X., Zeng, D. & Luo, X., Apr 1 2018, In : Future Generation Computer Systems. 81, p. 384-394 11 p.Research output: Contribution to journal › Article
Semantics
Thermodynamics
Processing
Experiments
Influence of flavors on the propagation of e-cigarette–related information: Social media study
Zhou, J., Zhang, Q., Zeng, D. & Tsui, K. L., Mar 1 2018, In : Journal of Medical Internet Research. 20, 3, e27.Research output: Contribution to journal › Article
Social Media
Tobacco Products
Spices
Proxy
Statistical Models
4
Citations
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation
Xie, J., Liu, X. & Zeng, D., Jan 1 2018, In : Journal of the American Medical Informatics Association. 25, 1, p. 72-80 9 p., ocx045.Research output: Contribution to journal › Article
Social Media
Long-Term Memory
Short-Term Memory
Tobacco Products
Safety