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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Bioinformatics Engineering & Materials Science
Supervised learning Engineering & Materials Science
Digital libraries Engineering & Materials Science
Semantics Engineering & Materials Science
Ontology Engineering & Materials Science
Proteins Engineering & Materials Science
Information retrieval Engineering & Materials Science
Computational Biology Medicine & Life Sciences

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Research Output 2000 2018

1 Citations

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

Characterizing user interest in NoSQL databases of social question and answer data

Lee, M., Jeon, S. & Song, M., 2018 Mar 7, (Accepted/In press) In : Journal of Supercomputing. p. 1-16 16 p.

Research output: Contribution to journalArticle

Websites
Dirichlet
Social Media
Question Answering
Overflow

Exploring a Supervised Learning Based Social Media Business Sentiment Index

Lee, H., Seo, H., Lee, N. & Song, M., 2018 Jan 1, Proceedings of the 7th International Conference on Emerging Databases - Technologies, Applications, and Theory. Springer Verlag, p. 193-202 10 p. (Lecture Notes in Electrical Engineering; vol. 461).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Classifiers
Disasters
Industry
Economics

Incorporating product description to sentiment topic models for improved aspect-based sentiment analysis

Amplayo, R. K., Lee, S. & Song, M., 2018 Jul 1, In : Information sciences. 454-455, p. 200-215 16 p.

Research output: Contribution to journalArticle

Sentiment Analysis
Model
Unification
Sentiment
Topic model

Investigating drug–disease interactions in drug–symptom–disease triples via citation relations

Song, M., Kang, K. & Young An, J., 2018 Nov 1, In : Journal of the Association for Information Science and Technology. 69, 11, p. 1355-1368 14 p.

Research output: Contribution to journalArticle

drug
Disease
interaction
Drugs
Citations