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Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?

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  • Eric P. S. Baumer
  • David Mimno
  • Shion Guha
  • Emily Quan
  • Geri K. Gay

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Suggested Citation

  • Eric P. S. Baumer & David Mimno & Shion Guha & Emily Quan & Geri K. Gay, 2017. "Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1397-1410, June.
    • Handle: RePEc:bla:jinfst:v:68:y:2017:i:6:p:1397-1410
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    File URL: http://hdl.handle.net/10.1002/asi.23786
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    Cited by:

    1. Debnath, Ramit & darby, Sarah & Bardhan, Ronita & Mohaddes, Kamiar & Sunikka-Blank, Minna, 2020. "A nested computational social science approach for deep-narrative analysis in energy policy research," SocArXiv hvcb5, Center for Open Science.
    2. Peterson, Christina & Skolits, Gary, 2019. "Evaluating unintended program outcomes through Ripple Effects Mapping (REM): Application of REM using grounded theory," Evaluation and Program Planning, Elsevier, vol. 76(C), pages 1-1.
    3. Rongqin Liu & Yun Zhang & Chuan Luo & Shangyu Tan & Yunqu Gong, 2024. "Review content type and hotel review helpfulness: direct and moderating effects," Information Technology and Management, Springer, vol. 25(4), pages 383-406, December.
    4. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    5. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    6. Teresa Duarte Martinho, 2018. "Researching Culture through Big Data: Computational Engineering and the Human and Social Sciences," Social Sciences, MDPI, vol. 7(12), pages 1-17, December.
    7. Wang, Xincheng & Li, Yuan & Tian, Longwei & Hou, Ye, 2023. "Government digital initiatives and firm digital innovation: Evidence from China," Technovation, Elsevier, vol. 119(C).

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