Department of Library and Information Science

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Visualization Engineering & Materials Science
Semantics Engineering & Materials Science
Digital libraries Engineering & Materials Science
visualization Social Sciences
Bioinformatics Engineering & Materials Science
Supervised learning Engineering & Materials Science
Information retrieval Engineering & Materials Science
Ontology Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1992 2019

A context-based ABC model for literature-based discovery

Kim, Y. H. & Song, M., 2019 Apr 1, In : PloS one. 14, 4, e0215313.

Research output: Contribution to journalArticle

Open Access
Literature Based Discovery
Biological Models
Amyotrophic Lateral Sclerosis
Neurodegenerative Diseases
Alzheimer Disease

Adopting text mining on rehabilitation therapy repositioning for stroke

Meng, G., Huang, Y., Yu, Q., Ding, Y., Wild, D., Zhao, Y., Liu, X. & Song, M., 2019 Feb 7, In : Frontiers in Neuroinformatics. 13, 17.

Research output: Contribution to journalArticle

Open Access
Data Mining
Patient rehabilitation
Rehabilitation
Stroke
Therapeutics

Developing a supervised learning-based social media business sentiment index

Lee, H., Lee, N., Seo, H. & Song, M., 2019 Jan 1, (Accepted/In press) In : Journal of Supercomputing.

Research output: Contribution to journalArticle

Social Media
Supervised learning
Supervised Learning
Sentiment Analysis
Maximum Entropy