This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Data Science (270) Information Retrieval (287)

Published on in Vol 11, No 3 (2009): Jul-Sep

Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums

Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums

Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums

Authors of this article:

Wolfgang Himmel Author Orcid Image ;   Ulrich Reincke ;   Hans Wilhelm Michelmann
Article Authors Cited by (22) Tweetations (2) Metrics

Journals

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  9. Tapi Nzali M, Bringay S, Lavergne C, Mollevi C, Opitz T. What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer. JMIR Medical Informatics 2017;5(3):e23 View
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  11. Erčulj V, Žiberna A. The Role of Online Social Support in Patients Undergoing Infertility Treatment – A Comparison of Pregnant and Non-pregnant Members. Health Communication 2022;37(14):1724 View
  12. Boivin J, Oguz M, Duong M, Cooper O, Filipenko D, Markert M, Samuelsen C, Lenderking W. Emotional reactions to infertility diagnosis: thematic and natural language processing analyses of the 1000 Dreams survey. Reproductive BioMedicine Online 2023;46(2):399 View

Books/Policy Documents

  1. Denecke K, Stewart A. Social Media Tools and Platforms in Learning Environments. View
  2. Chuchro M, Szostek K, Piórkowski A, Danek T. Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering. View
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