• Refine your search:
  • 
    Keyword:
    
    • unstructured data (12)
    • Linguistics (5)
    • Cybernetics (4)
    • World-Wide Web (4)
    • data extraction (4)
    • data structuring (4)
    • data-rich document (4)
    • obituary (4)
    • ontological conceptual modeling (4)
    • ontology (4)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium:
    
    • Online (24)
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 24 1 Measuring the quality of unstructured text in routinely collected electronic health data: a review and application Nesca, Marcello. - 2022 Abstract: Introduction: Routinely collected electronic health data (RCEHD), can be comprised of structured, semi-structured, or unstructured information. Electronic medical records (EMRs), one type of RCEHD, often contain unstructured text data (UTD), which are typically prepared for analysis (i.e., preprocessed) and analyzed using natural language processing (NLP) techniques. At present, there are few studies about the specific types of NLP methods used to preprocess UTD to address data quality issues prior to analysis or modelling. Purpose & Objectives: The purpose was to examine preprocessing methods for UTD and evaluate the quality of UTD in EMRs. The objectives were to: 1) systematically document current research and practices for preprocessing UTD to describe or improve its quality, and 2) apply data quality indicators identified from current research and practices to UTD in EMRs from the Manitoba Primary Care Research Network and describe the quality of these data. Methods: Objective 1 involved a scoping review. Scopus, Web of Science, ProQuest, and EBSCOhost were searched for literature on current research and practices to prepare UTD for analysis, up to and including 2021. For objective 2, a case study was undertaken where data quality indicators and preprocessing methods identified in the scoping review were applied to UTD from EMRs. Results: 41 articles were included in the scoping review for objective 1; over 50% were published between 2016 and 2021 and over 90% were empirical research articles. Data quality indicator topics for UTD in EMRs included misspelled words, security, word variability, sources of noise, quality of annotations, ambiguous abbreviations, and manual annotations. For objective 2, we selected 193,206 clinical encounter notes from EMRs between 1985 and 2020. Overall, the clinical encounter notes contained an average (standard deviation [SD]) of 27.3 (27.0) stop words, 25.7 (27.8) punctuation symbols, 12.1 (11.1) spelling errors, and 2.9 (2.6) special characters. The average (SD) length of a clinical encounter note was 555.8 (551.1) characters, and 71.5 (59.7) words. Lexical diversity, had a mean (SD) of 86.2 (11.9). Conclusion: This study identified multiple data quality indicators that have been used to preprocess UTD in published literature and demonstrated their application to real-world data. ; February 2022 Keyword: Data quality; Electronic Medical Records; Health research; Natural language processing; pre-processing unstructured text data URL: http://hdl.handle.net/1993/36163 BASE Hide details 2 LEXICON BASED RULE EXTRACTION FOR SENTIMENT ANALYSIS UNDER BIG DATA ENVIRONMENT ... B. Sevugamoorthy. - : Zenodo, 2019 BASE Show details 3 LEXICON BASED RULE EXTRACTION FOR SENTIMENT ANALYSIS UNDER BIG DATA ENVIRONMENT ... B. Sevugamoorthy. - : Zenodo, 2019 BASE Show details 4 NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification Lau, Sian; Yazdania, Sepideh; Tan, Zhiyuan. - : BMC, 2018 BASE Show details 5 Big Data Text Summarization: Using Deep Learning to Summarize Theses and Dissertations Kahu, Sampanna; Ingram, William A.; Jude, Palakh. - : Virginia Tech, 2018 BASE Show details 6 Face value of companies: deep learning for nonverbal communication ... Burgard, Sophie. - : Humboldt-Universität zu Berlin, 2017 BASE Show details 7 Face value of companies: deep learning for nonverbal communication Burgard, Sophie. - : Humboldt-Universität zu Berlin, 2017 BASE Show details 8 Supervised Process of Un-structured Data Analysis for Knowledge Chaining Quantin, Matthieu; Hervy, Benjamin; Laroche, Florent... In: Procedia CIRP ; CIRP design conference ; https://hal.archives-ouvertes.fr/hal-01347030 ; CIRP design conference, KTH, Jun 2016, Stockholm, Sweden. pp.436-441, ⟨10.1016/j.procir.2016.04.123⟩ ; http://cirpdesign2016.org/ (2016) BASE Show details 9 Leveraging Lexical Link Analysis (LLA) To Discover New Knowledge Zhao, Ying; MacKinnon, Douglas J.; Gallup, Shelley P.... In: Military Cyber Affairs (2016) BASE Show details 10 A Corpus Driven Computational Intelligence Framework for Deception Detection in Financial Text Minhas, Saliha Z. - : University of Stirling, 2016 BASE Show details 11 Situation Tracking in Large Data Streams Smith, Andrew; Wiles, Janet In: DTIC (2015) BASE Show details 12 Sentiment Big Data Flow Analysis by Means of Dynamic Linguistic Patterns Hussain, Amir; Bisio, Federica; Gelbukh, Alexander. - : IEEE, 2015 BASE Show details 13 Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal Zhao, Ying; Gallup, Shelley P; MacKinnon, Douglas J In: DTIC (2013) BASE Show details 14 Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach Martineau, Etienne; Lecocq, Regine In: DTIC (2013) BASE Show details 15 Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program Awareness Zhao, Ying; Gallup, Shelley P; MacKinnon, Douglas J In: DTIC (2012) BASE Show details 16 System Self-Awareness and Related Methods for Improving the Use and Understanding of Data within DoD Zhao, Ying; Mackinnon, Douglas J.; Gallup, Shelley P.. - 2011 BASE Show details 17 Collective knowledge systems: Where the social web meets the semantic web Tom Gruber In: http://www.websemanticsjournal.org/papers/2007119/CollectiveKnowledgeSystemsGruberV6I1.pdf (2008) BASE Show details 18 A conceptual-modeling approach to extracting data from the web D. W. Embley; D. M. Campbell; Y. S. Jiang... In: http://www.deg.byu.edu/papers/er98.pdf (1998) BASE Show details 19 A Conceptual-Modeling Approach to Extracting Data from the Web D.W. Embley; D.M. Campbell; Y.S. Jiang... In: http://osm7.cs.byu.edu/deg/papers/er98.ps (1998) BASE Show details 20 A Conceptual-Modeling Approach to Extracting Data from the Web Embley Campbell; D. W. Embley; D. M. Campbell... In: http://lantern.cs.byu.edu/papers/er98.ps (1998) BASE Show details Page: 1 2

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 24 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0