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

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

A data-driven analysis of the knowledge structure of library science with full-text journal articles

Timakum, T., Kim, G. & Song, M., 2018 Jan 1, (Accepted/In press) In : Journal of Librarianship and Information Science.

Research output: Contribution to journalArticle

data analysis
science
knowledge
text analysis
librarianship
1 Citations (Scopus)

A scalable and adaptive method for finding semantically equivalent cue words of uncertainty

Chen, C., Song, M. & Heo, G. E., 2018 Feb 1, In : Journal of Informetrics. 12, 1, p. 158-180 23 p.

Research output: Contribution to journalArticle

uncertainty
Computational linguistics
computational linguistics
scientific discipline
Uncertainty