Evaluating alternate avenues: Assessing the effectiveness of automatic text processing as a precursor to human transcript analysis
Public Deposited- Last Modified
- February 28, 2019
- Creator
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Welch, Amber N.
- Affiliation: School of Information and Library Science
- Abstract
- This study presents a methodology for utilizing TAPOR, a natural language processing tool, to perform preliminary analysis on interview transcripts. In order to test the framework we utilized data from a previous study involving ethnographic interviewing techniques. The case study is comprised of 20 transcripts from interviews conducted with scholars at the University of North Carolina at Chapel Hill. Findings suggest that utilizing a textual analysis tool as a preliminary method of transcript analysis could be valuable in reducing the amount of staff time spent analyzing interview transcripts prior to having data that indicate transcripts contain valuable information that is relevant to the scope of research interests. Adopting this methodology as a part of the transcript analysis process could provide valuable information to researchers earlier in the research process by identifying key thematic areas of interest prior to engaging in extended qualitative analysis coding sessions.
- Date of publication
- November 2011
- Subject
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Haas, Stephanie W.
- Degree granting institution
- University of North Carolina at Chapel Hill
- Language
- Extent
- 57
- Deposit record
- abb1808a-3405-4d7b-866b-f35807dc08b2
- Access right
- Open access
- Date uploaded
- March 6, 2013
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