Abe, H., & Tsumoto, S. (2012). Detection of research trends from bibliographical data.
International Journal of Data Mining, Modelling and Management,
4(3), 255-266. Doi:
10.1504/IJDMMM.2012.048107
Abuhay, T. M., Kovalchuk, S. V., Bochenina, K. O., Kampis, G., Krzhizhanovskaya, V. V., & Lees, M. H. (2017). Analysis of computational science papers from ICCS 2001-2016 using topic modeling and graph theory.
arXiv preprint arXiv:1705.02203. Doi:
10.1016/j.procs.2017.05.183
Ashrafi-Rizi, H., Hodhodinezhad, N., Shahrzadi, L., & Soleymani M.R. (2017). A Study on the Novel Services of Medical Librarians in Health Information. Journal of Health Information Management, 13(3), 438-444. (In Persian)
Behkami, N. A., & U. Daim, T. (2012). Research Forecasting for Health Information Technology (HIT), using technology intelligence.
Technological Forecasting and Social Change, 79(3), 498-508. Doi:
10.1016/j.techfore.2011.08.015
Boudry, C. (2015). Web 2.0 applications in medicine: trends and topics in the literature. Medicine 2.0, 4(1).
Chang, Y.-W., Huang, M.-H., & Lin, C.-W. (2015). Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses. Scientometrics, 105(3), 2071-2087.
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature.
Journal of the American Society for Information Science and Technology, 57(3), 359-377.
Doi:10.1002/asi.20317
Choi, Sungchul, Janghyeok Yoon, Kwangsoo Kim, Jae Yeol Lee, and Cheol-Han Kim. "Sao Network Analysis of Patents for Technology Trends Identification: A Case Study of Polymer Electrolyte Membrane Technology in Proton Exchange Membrane Fuel Cells." Scientometrics 88, no. 3 (2011/06/12 2011): 863.
Cui, W., Wu, Y., Liu, S., Wei, F., Zhou, M. X., & Qu, H. (2010). Context preserving dynamic word cloud visualization. Paper presented at the 2010 IEEE Pacific Visualization Symposium (PacificVis).
DePaolo, C. A., & Wilkinson, K. (2014). Get your head into the clouds: Using word clouds for analyzing qualitative assessment data. TechTrends, 58(3), 38-44.
Emami, M., Riahinia, N., & Soheili, F. (2020). Mapping the Scientific Structure of Medical and Laboratory Equipment with Using the Co-occurrence Analysis,
Scientometric Research Journal, 6(11), 41-56. (In Persian) Doi:
10.22070/rsci.2018.696
Figuerola, C. G., García Marco, F. J., & Pinto, M. (2017). Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA.
Scientometrics, 112(3), 1507-1535.
Doi: 10.1007/s11192-017-2432-9
Frakes, W. B., & Baeza-Yates, R. (1992). Information retrieval: data structures and algorithms. Prentice-Hall, Inc.
Funk, M. E. (2013). Our words, our story: a textual analysis of articles published in the Bulletin of the Medical Library Association/Journal of the Medical Library Association from 1961 to 2010.
Journal of the Medical Library Association: JMLA, 101(1), 12.
Doi: 10.3163/1536-5050.101.1.003.
Gavgani, V. Z., & Mohan, V. V. (2008). Application of web 2.0 tools in medical librarianship to support medicine 2.0. Webology, 5(1).
Hastie, T., Tibshirani, R., & Friedman, J. (2013). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Science & Business Media.
Hung, J.-L., & Zhang, K. J. J. o. C. i. H. e. (2012). Examining mobile learning trends 2003–2008: A categorical meta-trend analysis using text mining techniques. 24(1), 1-17. Doi:
10.1007/s12528-011-9044-9
Jensen, P. B., Jensen, L. J., & Brunak, S. (2012). Mining electronic health records: towards better research applications and clinical care. Nature Reviews Genetics, 13(6), 395.
Kao, A., & Poteet, S. R. (2007). Natural Language Processing and Text Mining. Springer Science & Business Media.
Kim, M. J., Ohk, K., & Moon, C. S. (2017). Trend Analysis by Using Text Mining of Journal Articles Regarding Consumer Policy.
New Physics: Sae Mulli, 67(5), 555-561.
Doi:10.3938/NPSM.67.555
Kim, Y.-M., & Delen, D. (2018). Medical informatics research trend analysis: A text mining approach. Health informatics journal, 24(4), 432-452.
Lamba, M., & Madhusudhan, M. (2019). Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study. Scientometrics
Lamba, M., & Madhusudhan, M. (2019). Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study.
Scientometrics,
120(2), 477-505.
Doi: 10.1007/s11192-019-03137-5
Le, M. H., Ho, T. B., & Nakamori, Y. (2005). Detecting emerging trends from scientific corpora. International Journal of Knowledge and Systems Sciences, 2(2), 53-59.
Lee, S., Lee, S., Seol, H., Park, Y. J. R., & Management, d. (2008). Using patent information for designing new product and technology:
keywordbased technology roadmapping. 38(2), 169-188.
https://doi.org/10.1111/j.1467-9310.2008.00509.
Li, H., An, H., Wang, Y., Huang, J., & Gao, X. (2016). Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network.
Physica A: Statistical Mechanics and its Applications, 450, 657-669.
https://doi.org/10.1016/j.physa.2016.01.017
Miner, G. (2012). Practical text mining and statistical analysis for non-structured text data applications. Academic Press.
Mostafavi, I., Osareh, F., & Tavakkolizadeh Ravari, M. (2017). Analysis on the Structure of KIS Scientific Words and Concepts Based on Social Network Analysis in the Web of Science Database (1993-1997 and 2009-2013),
Research on Information Scienc & Public Libraries, 23(89), 237-264. (In Persian) Dor:
20.1001.1.26455730.1396.23.2.6.6
Rajman, M., & Besançon, R. (1998). Text mining-knowledge extraction from unstructured textual data. In Advances in data science and classification (pp. 473-480): Springer.
Rebholz-Schuhmann, D., Oellrich, A., & Hoehndorf, R. (2012). Text-mining solutions for biomedical research: enabling integrative biology. Nature Reviews Genetics, 13(12), 829.
Rehurek, R., & Sojka, P. (2010). Software framework for topic modelling with large corpora. Paper presented at the In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks.
Sahoo, S., & Bhui, T. (2018). Trend of Public library research in India: a bibliometric study. Library Philosophy & Practice.
Salloum, S. A., Al-Emran, M., Monem, A. A., & Shaalan, K. (2018). Using text mining techniques for extracting information from research articles. In Intelligent Natural Language Processing: Trends and Applications (pp. 373-397): Springer.
Soheili, F., Khasseh, A.A., & Koranian, P. (2019). Mapping Intellectual Structure of Knowledge and Information Science in Iran based on Co-word Analysis.
Journal of Information Processing and Management, 34(4), 1905-1938. (In Persian) Doi:
10.35050/JIPM010.2019.026
Soleimani Nezhad, A., Salajegheh, M., & Tayyebi Nia, E. (2019). Clustering scientific articles based on the k_means algorithmCase Study: Iranian Research Institute for information Science and Technology (IranDoc),
Journal of Information Processing and Management, 34(2), 871-896. (In Persian) Doi:
10.35050/JIPM010.2019.060
Su, H.-N., & Lee, P.-C. (2010). Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight.
Scientometrics, 85(1), 65-79.
Doi: 10.1007/s11192-010-0259-8
Wang, M. Y., Fang, S. C., & Chang, Y. H. (2015). Exploring technological opportunities by mining the gaps between science and technology: Microalgal biofuels.
Technological Forecasting and Social Change, 92, 182-195. Doi:
10.1016/j.techfore.2014.07.008
Wartena, C., Brussee, R., & Slakhorst, W. (2010, August). Keyword extraction using word co-occurrence. In 2010 workshops on database and expert systems applications (pp. 54-58). IEEE.
Wu, C.-C. (2016). Constructing a weighted keyword-based patent network approach to identify technological trends and evolution in a field of green energy: a case of biofuels.
Quality & Quantity, 50(1), 213-235.
Doi: 10.1007/s11135-014-0145-1
Xu, M., Li, G., & Wang, X. (2020). Detecting emerging topics by exploiting probability burst and association rule mining: A case study of Library and Information Science.
Malaysian Journal of Library and Information Science, 25(1), 47-66. Doi:
10.22452/mjlis.vol25no1.3
Zhang, Y., Chen, M., & Liu, L. (2015, September). A review on text mining. In 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS) (pp. 681-685). IEEE.
)