TSMM (Text & Social Media Mining) Lab

Where Innovation is Created


Journal Papers

Accepted Papers

1. Yu, Q., Ding, Y., Song, M., Song, S.J.,
Liud, J., Zhange, B. (2015) Tracing dataset usage: Detecting main paths in database citation networks, Journal of Informetrics (SSCI) IM: 3.609

2. Song, M. Jeong, Y.K., and Kim, H.J. (2015) Identifying the topology of the K-pop video community on YouTube: A  combined co-comment analysis approach, JASIST (SSCI) IM:2.23
3. Song, M., Han, W.S., and Yu, W.J. (2015) Exploring Dictionary-based Bio-Entity Recognition Techniques, BMC Medical Informatics and Decision Making (SCIE) IM:1.5
4. Lee, H.Y., Kwak, J.E., Song, M., and Kim, C.W. (2015) Investigating the Relationship of Research and Education in the Field of Machine Learning using Co-phrase Analysis and Topic Modeling, Scientometrics (SSCI) IM:2.274
5. Xu, J., Ding, Y., Song, M., and Chambers, T. (2015) Author credit-assignment schemas: A comparison and analysis, JASIST (SSCI) IM:2.23
6. Lee, D.H., Kim, W.C.,  Charidimou, A., and Song, M. (2015) A bird’s-eye view of Alzheimer disease research: reflecting different perspectives of indexers, authors, or citers in mapping the field, Journal of Alzheimer's Disease (SCI) IM:3.612
7. Charidimou, A., Fox, Z., Werring, D., Song, M. (2015) Cerebral amyloid angiopathy research: on the verge on an explosion?, International Journal of Stroke  (SCI) IM:4.029
8. Wu, Y., Denny, J., S. Rosenbloom. S. T., Miller, R. A., Giuse, D., Song, M., Xu, H. (2015) Clinical Abbreviation Recognition and Disambiguation, Applied Clinical Informatics (SCIE) IM:0.386
9. Charidimou, A., Fox, Z., Werring, D.J., Song, M. (2015) Mapping the landscape of cerebral amyloid angiopathy research: a informetric analysis perspective, Journal of Neurology, Neurosurgery, and Psychiatry (SCI) IM:5.580

10. Yunjung Pak, Young-jin Kim, Min Song, Yong-Hak Kim. (2015). Shock Waves of Political Risk on the Stock Market: The case of Korean Companies in the U.S. Development and Society 44(1)

Accepted Domestic Papers
1. Hahm, J. E. and Song, M. (2015) Detection of Hidden Knowledge Using a Citation-Based Approach Based on Swanson's ABC Model, 정보관리학 회지

Under Review -- Journal:

1. Song, M., Heo, K.E., and Ding, Y. (2015) SemPathFinder: Semantic Path Analysis for Discovering Publicly Unknown Knowledge, Journal of Informetrics (SSCI)
2. Cho, W.S., Lee, J.M., Song, M. (2015) Ideological Bias and Polarization among Twitter Networks in South Korea, Asian Journal of Communication (SSCI)
3. Kim, H.J., Oh, J.S., and Song, M. (2015) ConseQE: a Context-sensitive Query Expansion Technique in Biomedical Digital Libraries, Information Research (SSCI)
4. Jeong, Y.K., Heo, G.E., Kang, K.Y., Yoon, D.S., Song, M. Trajectory Analysis of the Recent Drug Research Trend in Pancreatic Cancer,  Journal of Medical Internet Research (SCI)
5. Lee, D.H., Kim, M.J., Baek S.H., Song, M. Context-aware Plausible Hypothesis Development and Enrichment by Literature Mining, Bioinformatics (SCI)
6. Kim, Y.H., Baek, S.H., Charidimou, A., Song, M. Discovering new genes as a common trigger for pertinent diseases, Journal of Alzheimer's Disease (SCI)
7. Lee, K.H., Kim, S.Y., Kim, H.J., Han, N.G., Song, M. Exploring Reference-specific Approaches to Literature-based Discovery in Parkinson’s Disease Research, Journal of Informetrics (SSCI)
8. Song, M., Kim, H.E.J, Kim, H.J (2015) Exploring Author Name Disambiguation on PubMed-scale, Journal of Informetrics (SSCI)
9. Song, M., Kim, W.C., Lee, D.H., Heo, G.E., Kang, K.Y. (2015) PKDE4J: Entity and Relation Extraction for Public Knowledge Discovery, Journal of Biomedical Informatics (SCI) 

10. Kim, H.J., Jeong, Y.K., Kim, Y.Y., Kang, K.Y., Song, M. (2015) Topic-based Content and Sentiment Analysis of Ebola Virus on Twitter and in the News, Journal of Information Science (SSCI)

Book Chapters

1. Song, M., & Ding, Y. (2015). Topic modeling: Measuring scholarly impact through the topical lens. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring scholarly impact: Methods and practice. Springer. (book chapter) 

2. Song, M., & Chambers, T. (2015). Text Mining with the Stanford CoreNLP. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring scholarly impact: Methods and practice. Springer. (book chapter)

Published Papers

International Journals


1. Bleik, S., Mishra, M., Huan, J., Song, M. (2014) Text Categorization of Biomedical Data Sets using Graph Kernels and a Controlled Vocabulary, IEEE/ACM Transactions on Computational Biology and Bioinformatics (SCI)

2. Song, M. and Kim, S.Y., Zhang, G., and Ding, Y. (2014). Productivity and Influence in Bioinformatics: A Bibliometric Analysis using PubMed Central, JASIST (SSCI)

3. Song, M., Kim, M., and Jung, Y.K. (2014). Analyzing the Political Landscape of 2012 Korean Presidential Election in Twitter, IEEE Intelligent System (SCI)
4. Song, M., Han, N.G., Kim, Y.H., Ying, D., and Chamber, T. (2014). Discovering Implicit Entity Relation with the Gene-Citation-Gene Network, PLOS One (SCI)
5. Jung, Y.K., Song, M., Ying, D. (2014) Content-based Author Co-citation Analysis, Journal of Informetrics (SSCI)
6. Ding, Y., Song, M., Wang, X., Zhang, G., Zhai, C., and Chambers, T. (2014) Content-based citation analysis: The next generation of
citation analysis, JASIST (SSCI)

7. Song, M., Heo, G.E., and Lee, D.H. (2014) Identifying the Landscape of Alzheimer’s Disease Research with Network and Content Analysis, Scientometrics (SSCI)
Kim, M.C., Jung, Y.K., and Song, M. (2014) Investigating the Integrated Landscape of the Intellectual Topology in the Domain of Bioinformatics, Scientometrics (SSCI)

9. Jung, D.H. and Song, M. (2014) Time Gap Analysis by the Topic Model-based Temporal Technique, Journal of Informetrics (SSCI)
10. Rudniy, A., Song, M., and Geller, J. (2014) Longest Approximately Common Prefix method for duplicate detection of biomedical entities, BMC Bioinformatics (SCI)
11. Song, M., Heo, G.E., and Kim, S.Y. (2014). Analyzing Topic Evolution in Bioinformatics: Investigation of Dynamics of the Field with Conference Data in DBLP, Scientometrics (SSCI)
12. Kim, Y.W., Lee, D.H., Han, N.G., and Song, M. (2014) Exploring Characteristics of Video Consuming Behavior in Different Social Media Using K-pop Videos, Journal of Information Science (SSCI)

13. Hahm, J.E., Kim, S.Y., Kim, M.C., Song, M. (2013) Exploring Indexer's Effect in Keyphrase Extraction, Information Research (SSCI)

14. Ding, Y., Song, M., Han, J., Lin, L., Yu, Q., Ridenour, L. (2013). Entitymetrics: Measuring the impact of entities, PLOS One (SCI)
15. Song, M., Yang, C., Tang, X. (2013). Detecting Evolution of Bioinformatics with a Content and Co-authorship Analysis, SpringerPlus. (SSCI)
16. Song, M. (2013) Opinion: Text Mining in the Clinic, The Scientist (SSCI)
17. Choi, J., Kim, K., Song, M., Lee, D.H. (2013) Generation and Application of Drug Indication Inference Models Using Typed Network Motif Comparison Analysis, BMC Medical Informatics and Decision Making (SCI)
18. Tang, X., Yang, C., Song, M. (2013). Understanding the Evolution of Multiple Scientific Research Domains Using a Content and Network Approach. 64(5): 1065-1075. JASIST. (SSCI)

19. Bleik, S., Song, M. and Xiong, W. (2013) Enhancing Biomedical Concept Extraction using Semantic Relationship Weights, International Journal of Data Mining and Bioinformatics (SCI)

20. Kim, H.J. and Song, M. (2013) An Ontology-Based Approach to Sentiment Classification of Mixed Opinions in Online Restaurant Reviews Lecture Notes in Computer Science Volume 8238, 2013, pp 95-108

21. Ho, S. M., Song, M. Bieber, M., Zhang X. (2013) IntegraL Makes Sense Collective Intelligence Enabled by Anchor-based Federated Search Infrastructure, JASIST (SSCI)

22. Lee, S.J., Choi, J.J., Park, K.H., Song, M., and Lee, D.H. (2012) Discovering context-specific relationships from biological literature by using multi-level context terms, BMC Medical Informatics and Decision Making 2012.
23. Song, M. (2012) Opinion: Text Mining Medicine (Subtitle: Researchers should scour historic medical archives to discover knowledge that could inform today biomedical research and clinical practice) The Scientist (SSCI)

24. Song, M., Kim, S.Y. (2012) Detecting the Knowledge Structure of Bioinformatics by Mining Full-text Collections , Scientometrics (SSCI)

25. Zhang, L., Bieber, M., Song, M., Oria, V., and Millard, D. (2012) Supplementing Just-in-Time Hypermedia Functionality for Virtual Documents, Accepted in International Journal on Digital Libraries.


25. Song, M., Yu, H., and Han, W.S. (2011) A Semi-supervised Learning Technique to Extract Protein Interaction Sentences, BMC Bioinformatics
26. Lee, M., Lee, K. H., Song, M., Lee, D. (2011) Building the process-drug–side effect network to discover the relationship between biological Processes and side effects, BMC Bioinformatics 2011, 12(Suppl 2):S2 (29 March 2011)
27. Qi, T., Song, M., Yoon, S. J., Watrous-deVersterre, L. (2011) Combining Supervised Learning Techniques to Key-phrase Extraction for Biomedical Full-text, accepted in International Journal of Intelligent Information Technologies (IJIIT) 7(1): 33-44.

28. Ijaz, A.Z., Song, M. and Lee, D. (2010) MKEM: a Multi-level Knowledge Emergence Model for Mining Undiscovered Public Knowledge, BMC Bioinformatics, 11(Suppl 2):S3 doi:10.1186/1471-2105-11-S2-S3.
29. Song, M. and Rudniy, A. (2010) Detecting Duplicate Biological Entities using Markov Random Field-based Edit Distance, to be published in 2010 Knowledge and Information Systems.
30. Song, M. and Liu, H. (2010) AbbrevExtractor: a Robust Extraction Technique for Biomedical Literature, to be published in 2009, International Journal of Functional Informatics and Personalised Medicine, vol. 3, no. 2.
31. Rudniy, A., Song, M., Geller, J. (2010) Detecting Duplicate Biological Entities Using Shortest Path Edit Distance, to be published in 2010, International Journal of Data Mining and Bioinformatics.

Domestic Journals

1. Song, S.J., Kim, S.Y., Song, M. (2015) Investigation of Topic Trends in Information Science by Text Mining Techniques: Mining Information Science-related Conferences in DBLP, 정보관리 학회지
2. Ahn, H.R., Song, M., Heo, G.E. (2015) Inferring Undiscovered Public Knowledge by Using Text Mining Analysis and Main Path Analysis, 한 국비블리아학회지

3. Heo, G.E. and Song, M. (2014). 텍스트 마이닝 기반의 그래프 모델을 이용한 공공지식 추론, 정보관리학 회지
4. Kim, H.J. and Song, M. (2014). 동시출현단어 분석을 통한 국내외 정보학 학회지 연구동향, 정 보관리학회지
5. Song, M. (2014). TAKES: Two-step Approach for Knowledge Extraction in Biomedical Digital Libraries, Journal of Information 6cience Theory and Practice
7. Bae, J.W., Han, N.G., Song, M. (2014) 토픽 모델링을 이용한 트위터 이슈 트래킹 시스템,
Journal of Intelligence and Information Systems (지능정보연구)
8. Kang, B.I., Song, M., and Jho, H.W. (2013). 토픽 모델링을 이용한 신문 자료의 오피니언 마이닝에 대한 연구 문헌 정보학회지
9. Bae, J.W., Son, J.E., and Song, M. (2013) 텍스트 마이닝을 이용한 2012년 한국 대선 관련 트위터 분석,
10. Heo, G.E. and Song, M. (2013) 저자동시인용 분석과 동시출현단어 분석을 이용한 의료정보학 저널의 지적구조 분석, 정보관리학회지

11. Park, J.H and Song, M. (2013) 토픽모델링을 활용한 국내 문헌정보학 연구동향 분석, 정 보관리학회지

12. Jin, S.A., Heo, K.E., Jung, Y.K., Song, M. (2013) 트위터 데이터를 이용한 네트워크 기반 토픽 변화 추적 연구, 한국정보관리학회지

13. Kim, M.C., Shim, K.S., Han, N. G., Kim, Y.E., and Song, M. (2013) 트위터 상의 악의적 이용 자동분류, 문 헌정보학 회지
14. Gam M.A. and Song, M. (2013) 텍스트 마이닝을 활용한 신문사에 따른 내용 및 논조 차이점 분석, Journal of Intelligence and Information Systems (지능정보연구)

Accepted Conference Papers

1. Rudniy, A., Song, M., and Geller, J. (2014) Improved Shortest Path Edit Distance for Synonyms Identification, BICoB 2014

2. Kim, Y.W., Lee, D.H., Hahm, J.E., Han, N.G., and Song, M. (2014) Investigating Socio-cultural Behavior of Users Reflected in Different Social Channels on K-pop, WWW14.

Conference Papers

1. Song, M. and Kim, M.C. (2013) RT^2M : Real-time Twitter Trend Mining System, International Conference on Social Intelligence and Technology 2013, College Station, Pennsylvania (SOCIETY 2013)

2. Bleik, S., Song, M. and Han, W.S. (2013) External Knowledge-based Features for Naïve Bayes Biomedical Text Categorization The Fifth International Conference on Emerging Databases-Technologies,Applications, and Theory (EDB 2013), Jeju Grand Hotel, Jeju Island, Korea

3. Wu, Y., Denny, J., S. Rosenbloom. S. T., Miller, R. A., Giuse, D., Song, M., Xu, H. (2013) A Prototype Application for Real-time Recognition and Disambiguation of Clinical Abbreviations, The Seventh International Workshop on Data and Text Mining in Biomedical Informatics, November 1, San Francisco, USA.

4. Song, M., Han, W.S., Yu, W. (2013) BoDBES: a Boosted Dictionary-based Biomedical Entity Spotter The Seventh International Workshop on Data and Text Mining in Biomedical Informatics, November 1, San Francisco, USA.

5. Mishra, M., Huan, J., Bleik, S. and Song, M. (2012) Biomedical Text Categorization with Concept Graph Representations Using a Controlled Vocabulary, BIOKDD 2012
6. Kim, S.Y., Song, M. (2012) Understanding Dynamics of the Field of Information Science with Text Mining Techniques, COLLNET 12
7. Yang, C., Tang, X., Kim, S.Y., Song, M. (2012) A trend analysis of domain-specific literatures with content and co-author network similarity, the 14th International Conference on Asia-Pacific Digital Libraries (ICADL 2012)
8. Choi, J.J., Kim, K.M., Song, M., Lee, D.H. (2012) TNMCA: Generation and Application of Network Motif-Based Inference Models for Drug Repositioning,DTMBIO 12
9. 박자현, 송민 (2012). 메타데이터를 활용한 조사자료의 문서범주화에 관한 연구. 제19회 한국정보관리학회 학술대회 논문집, 73-76.
10. Song, M., Yang, C., Tang, X., Han, W.S. (2012). Mapping the Field of Bioinformatics with a Content and Co-authorship Analysis, International Workshop on Biomedical and Health Informatics, Philadelphia, Oct. 4-7, 2012.

11. Markson, C. and Song, M. A Technique for Suggesting Related Wikipedia Articles using Link Analysis, JCDL 2012
12. Tanapaisankit, P., Watrous-De Versterre, L. and Song, M. Personalized Query Expansion in the QIC System, JCDL 2012
13. Watrous-Deversterre, L., Wang, C. and Song, M. Concept Chaining utilizing Meronyms in Text Characterization, JCDL 2012

14. Rudniy, A. Geller, J. and Song, M. "Histogram Difference String Distance for Enhancing Ontology Integration in Bioinformatics," accepted in Int. Conf. on Bioinf. and Comp. Biol., March 2012, Las Vegas, NV.
15. Song, M., Bleik, S., Yu, H., Han, W.S. (2011) Extracting Biomedical Concepts from Fulltext by Relative Importance in a Graph Model, BHI
16. Oh, J., Park, S., Yu, H., Song, M. and Park, S.T. (2011). Novel Recommendation based on Personal Popularity Tendency, The IEEE International Conference on Data Mining series (ICDM), 2011.
17. Xu, G., Song, M., and Feng, J. (2011). Research on Multi-agent Comprehensive Evaluation Model Based on Attribute Coordinate, IEEE International Conference on Granular Computing. 2011.
18. Tanapaisankit, P. Song, M., Fox, E. A. (2011) Developing a Concept Extraction Technique with Ensemble Pathway, JCDL 2011
19. Bleik, S., Wei, X., Wang, Y., Song, M. (2010) Biomedical Concept Extraction using Concept Graphs and Ontology-based Mapping, BIBM
20. Lee, S., Lee, D. H., Song, M. (2010) Discovering Biological Processes and Side Effects Relationship Using the Process-drug-side effect Network, DTMBIO
21. Rudniy, A., Geller, J., and Song, M. (2010) Shortest Path Edit Distance for Enhancing UMLS Integration and Audit, American Medical Informatics Association 2010
22. Song, M., Yu, W. J., and Han, W. S. (2010) Combining Active Learning and Semi-supervised Learning Techniques to Extract Protein Interaction Sentences, BIOKDD 10, in conjunction with KDD 2010, Washington, D.C. July 25.
23. Rudniy, A., Song, M., and Geller, J. (2010) Shortest Path Edit Distance for Detecting Duplicate Biological Entities. ACM International Conference on Bioinformatics and Computational Biology.
24. Ho, S. M., Song, M., Bieber, M., (2010) IntegraL: The Effectiveness of a Link-based Federated Search Infrastructure, iConference 2010.
25. Xiong, W., Song, M., Watrous-deversterre, L. (2010) A Quantitative Assessment of SENSATIONAL with an Exploration of Its Applications, FLAIRS 2010.

Under development
Detecting User Query Intent in the Biomedical Domain