Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"text data mining"”.
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The nature of the human resource development research–practice gap: Text data mining and topic modeling analysis of three decades of professional and academic literature from 1990 to 2022
… topic modeling (STM) and a 50/50 training–test dataset split approach, this study scrutinizes latent topics and the prevalence in five HRD–related professional journals and five academic journals from 1990 to 2022. The results highlight the multifaceted, evolving, and dynamic nature of the gap …
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Mining Helpdesk Databases For Professional Development Topic Discovery
… road map by which academic institutions can use text data mining techniques to derive technology skillset weaknesses and professional development topics from the site’s technical support helpdesk database. The methods employed were described in detail and applied to the helpdesk database of an …
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Semantic Text Analytics Technique for Classification of Manufacturing Suppliers
… natural language format. The unstructured data could contain important and useful information that can inform decision makers across different phases of product lifecycle. However, due to its unstructured nature, it is often difficult to effectively use the information embedded in the data …
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Clinician Decision Support Dashboard: Extracting value from Electronic Medical Records
… that analyzes a patient's evolving EMR in context with available biomedical knowledge and the accumulated experience recorded in various text sources including the EMRs of other patients. The aim of the Clinician Decision Support (CDS) Dashboard is to provide interactive, automated, actionable …
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Empirical studies of financial and labor economics
… the Bitcoin market’s efficiency by examining the correlation between social media information and Bitcoin future returns. First, I extract Twitter sentiment information from the text analysis of more than 130,000 Bitcoin-related tweets. Granger causality tests confirm that market …