Text mining in career studies: generating insights from unstructured textual data
This Handbook of Research Methods in Careers serves as a comprehensive guide to the methodologies that researchers use in career scholarship. Presenting detailed overviews of methodologies, contributors offer numerous actionable best practices, realistic previews, and cautionary tales based on their...
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| Hoofdauteurs: | , , , |
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| Formaat: | Online |
| Taal: | Engels |
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Edward Elgar Publishing
2021
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| Online toegang: | https://directory.doabooks.org/handle/20.500.12854/70948 |
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| _version_ | 1869527366414368768 |
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| author | Kobayashi, Vladimer B. Mol, Stefan T. Vrolijk, Jarno Kismihók, Gábor |
| author_browse | Kismihók, Gábor Kobayashi, Vladimer B. Mol, Stefan T. Vrolijk, Jarno |
| author_facet | Kobayashi, Vladimer B. Mol, Stefan T. Vrolijk, Jarno Kismihók, Gábor |
| author_sort | Kobayashi, Vladimer B. |
| collection | Directory of Open Access Books |
| description | This Handbook of Research Methods in Careers serves as a comprehensive guide to the methodologies that researchers use in career scholarship. Presenting detailed overviews of methodologies, contributors offer numerous actionable best practices, realistic previews, and cautionary tales based on their vast collective experience of research in the discipline. |
| format | Online |
| id | doab-20.500.12854ir-70948 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-709482022-02-11T15:11:22Z Text mining in career studies: generating insights from unstructured textual data Kobayashi, Vladimer B. Mol, Stefan T. Vrolijk, Jarno Kismihók, Gábor careers research career scholarship quantitative methods qualitative methods mixed methods KJMV2 GPS GBC This Handbook of Research Methods in Careers serves as a comprehensive guide to the methodologies that researchers use in career scholarship. Presenting detailed overviews of methodologies, contributors offer numerous actionable best practices, realistic previews, and cautionary tales based on their vast collective experience of research in the discipline. Published 2021-06-28T13:09:58Z 2021-06-28T13:09:58Z 2021-06-08 chapter 9781788976718 https://directory.doabooks.org/handle/20.500.12854/70948 eng Handbooks of Research Methods in Management series image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International http://www.e-elgar.com/shop/isbn/9781788976718 https://www.elgaronline.com/view/edcoll/9781788976718/9781788976718.00015.xml Edward Elgar Publishing 10.4337/9781788976725.00015 10.4337/9781788976725.00015 01ceac28-75b4-492a-8eec-f9b98bc6b28c 9781788976718 25 Cheltenham, Gloucestershire, UK and Northampton MA, USA open access |
| spellingShingle | careers research career scholarship quantitative methods qualitative methods mixed methods KJMV2 GPS GBC Kobayashi, Vladimer B. Mol, Stefan T. Vrolijk, Jarno Kismihók, Gábor Text mining in career studies: generating insights from unstructured textual data |
| title | Text mining in career studies: generating insights from unstructured textual data |
| title_full | Text mining in career studies: generating insights from unstructured textual data |
| title_fullStr | Text mining in career studies: generating insights from unstructured textual data |
| title_full_unstemmed | Text mining in career studies: generating insights from unstructured textual data |
| title_short | Text mining in career studies: generating insights from unstructured textual data |
| title_sort | text mining in career studies generating insights from unstructured textual data |
| topic | careers research career scholarship quantitative methods qualitative methods mixed methods KJMV2 GPS GBC |
| topic_facet | careers research career scholarship quantitative methods qualitative methods mixed methods KJMV2 GPS GBC |
| url | https://directory.doabooks.org/handle/20.500.12854/70948 |
| work_keys_str_mv | AT kobayashivladimerb textminingincareerstudiesgeneratinginsightsfromunstructuredtextualdata AT molstefant textminingincareerstudiesgeneratinginsightsfromunstructuredtextualdata AT vrolijkjarno textminingincareerstudiesgeneratinginsightsfromunstructuredtextualdata AT kismihokgabor textminingincareerstudiesgeneratinginsightsfromunstructuredtextualdata |