Skip to main content

A Case Study of Linguistic Research Methods in the Age of Computing

  • Conference paper
  • First Online:
Tools for Design, Implementation and Verification of Emerging Information Technologies (TridentCom 2020)

Abstract

With the development of technologies such as computers, Artificial Intelligence, and Big Data new research methods have emerged in the traditional social sciences. With the help of new research methods, the efficiency and accuracy of quantitative analysis can be improved, which helps to improve research efficiency and demonstrate research trends. This paper uses the data analysis software CiteSpace as an example to analyze the current research situation of domestic Tibetan-Burman Language research, and graphically display the analysis results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yang, H., Shao, X.X., Wu, M.: A review on ecosystem health research: a visualization based on CiteSpace. Sustainability 11, 4908 (2019)

    Google Scholar 

  2. Zheng, K.Y., Wang, X.Q.: Publications on the association between cognitive function and pain from 2000 to 2018: a bibliometric analysis using CiteSpace. Med. Sci. Monitor. 25, 8940–8951 (2019)

    Google Scholar 

  3. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann. Int. Med. 151, 264–269 (2009)

    Google Scholar 

  4. Yao, Q., et al.: Scientometric trends and knowledge maps of global health systems research. Health Res. Policy Syst. 12 (2014)

    Google Scholar 

  5. Archambault, E., Campbell, D., Gingras, Y., Lariviere, V.: Comparing of science bibliometric statistics obtained from the web and scopus. J. Am. Soc. Inf. Sci. Technol. 60, 1320–1326 (2009)

    Google Scholar 

  6. Hou, J.H., Yang, X.C., Chen, C.M.: Emerging trends and new developments in information science: a document co-citation analysis (2009–2016). Scientometrics 115, 869–892 (2018)

    Google Scholar 

  7. Martin, D.J., Simon, J., Daan, S., Zhan, C.J., Margot, W.: Sustainable-smart-resilient-low carbon-eco-knowledge cities; making sense of a multitude of concepts promoting sustainable urbanization. J. Clean. Prod. 109, 25–38 (2015)

    Google Scholar 

  8. Cabeza, R., Luis, J., Sanchez, C.S., Fuentes, G.F.J.: Past themes and tracking research trends in entrepreneurship: a Co-word, Cites and usage count analysis. Sustainability 11, 3121 (2019)

    Google Scholar 

  9. Small, H., Griffith, B.C.: The structure of scientific literatures I: identifying and graphing specialties. Sci. Stud. 4, 17–40 (1974)

    Google Scholar 

  10. Cambrosio, A., Limoges, C., Courtial, J.P., Laville, F.: Historical scientometrics? Mapping over 70 years of biological safety research with co-word analysis. Scientometrics 27, 119–143 (1993)

    Google Scholar 

  11. Ying, D., Chowdhury, G.G., Foo, S.: Bibliometric cartography of information retrieval research by using co-word analysis. Inform. Process. Manag. 37, 817–842 (2001)

    Google Scholar 

  12. Zong, Q., Shen, H., Yuan, Q., Hu, X., Hou, Z., Deng, S.: Doctoral dissertations of Library and Information Science in China: a co-word analysis. Scientometrics 94, 781–799 (2013)

    Google Scholar 

  13. Diego, C.G. Marta, O.U.C. Eva-María, M.V.: Knowledge areas, themes and future research on open data: a co-word analysis. Gov. Inform. Q. 36, 77–87 (2019)

    Google Scholar 

  14. Zhang, Q., Ma, F.C.: On paradigm of research knowledge management: a bibliometric analysis. J. Manag. Sci. China 10, 65–74 (2007)

    Google Scholar 

  15. An, X.Y., Wu, Q.Q.: Co-word analysis of the trends in stem cells field based on subject heading weighting. Scientometrics 88, 133–144 (2011)

    Google Scholar 

  16. Cho, C.H., Patten, D.M.: The role of environmental disclosures as tools of legitimacy: a research note. Account. Org. Soc. 32, 639–647 (2007)

    Google Scholar 

  17. Tang, Y.H., Wu, S.M., Miao, X., Pollard, S.J.T., Hrudey, S.E.: Resilience to evolving drinking water contamination risks: a human error prevention perspective. J. Clean. Prod. 57, 228–237 (2013)

    Google Scholar 

  18. Boston-Fleischhauer, C.: Enhancing healthcare process design with human factors engineering and reliability science, part 2: applying the knowledge to clinical documentation systems. J. Nurs. Adm. 38, 84–89 (2018)

    Google Scholar 

  19. Davis, M.V., Macdonald, P.D.M., Cline, J.S., Baker, E.L.: Evaluation of public health response to hurricanes finds north carolina better prepared for public health emergencies. Public Health Rep. 122, 17–26 (2007)

    Google Scholar 

  20. Gao, W.Y., Zhang, H., Luo, Y.: Preventing false negative results in detecting new coronavirus nucleic acid. Int. J. Lab. Med. 41, 641–643 (2020)

    Google Scholar 

Download references

Acknowledgement

This research was financially supported by “Research on key technologies and model verification of prose genre oriented text understanding (ZDI135-101)”, “Research and Application of Key Technologies of Intelligent Auxiliary Reading System (ZDI135-79)”,Capacity Building for Sci-Tech Innovation-Fundamental Scientific Research Foundation (20530290082).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to TieJun Shao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shao, T., Zhou, J., Zhang, W. (2021). A Case Study of Linguistic Research Methods in the Age of Computing. In: Weng, Y., Yin, Y., Kuang, L., Zhang, Z. (eds) Tools for Design, Implementation and Verification of Emerging Information Technologies. TridentCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-030-77428-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-77428-8_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77427-1

  • Online ISBN: 978-3-030-77428-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics