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| Visualization of unstructured personal narratives of perterm birth using text network analysis |
| Jeung-Im Kim |
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Korean J Women Health Nurs. 2020;26(3):205-212. Published online August 28, 2020 DOI: https://doi.org/10.4069/kjwhn.2020.08.08 |
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Visualization of unstructured personal narratives of perterm birth using text network analysis Korean Journal of Women Health Nursing. 2020;26(3):205-212  Gender Differences in Speech Temporal Patterns Detected Using Lagged Co-occurrence Text-Analysis of Personal Narratives Journal of Psycholinguistic Research. 2008;38(2):111-127 Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology Accident Analysis & Prevention. 2021;150:105899 Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis Social Network Analysis and Mining. 2019;9(1): Dynamic Semantic Network Analysis of Unstructured Text Corpora Analysis of Images, Social Networks and Texts. 2017;392-403 Unstructured tetrahedral mesh quality analysis using an interactive haptic and visual interface Computing and Visualization in Science. 2002;5(3):179-192 Network text sentiment analysis method combining LDA text representation and GRU-CNN Personal and Ubiquitous Computing. 2018;23(3-4):405-412 IEEE Transactions on Visualization and Computer Graphics. 2017;23(1):161-170 3D visualization and cluster analysis of unstructured protein sequences using ARCSA with a file conversion approach The Journal of Supercomputing. 2018;76(6):4287-4301 Building Common Knowledge from Personal Historical Narratives Cooperative Design, Visualization, and Engineering. 2017;85-89 |
