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Applying Sparse Machine Learning Methods to Twitter: Analysis of the 2012 Change in Pap Smear Guidelines. A Sequential Mixed-Methods Study
BACKGROUND: It is difficult to synthesize the vast amount of textual data available from social media websites. Capturing real-world discussions via social media could provide insights into individuals’ opinions and the decision-making process. OBJECTIVE: We conducted a sequential mixed methods stud...
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| Veröffentlicht in: | JMIR Public Health Surveill |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Gunther Eysenbach
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4920957/ https://ncbi.nlm.nih.gov/pubmed/27288093 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/publichealth.5308 |
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