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

Artificial Intelligence (1754) Data Science (307) Information Retrieval (325)

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

  1. Hao H, Zhang K, Wang W, Gao G. A tale of two countries: International comparison of online doctor reviews between China and the United States. International Journal of Medical Informatics 2017;99:37 View
  2. Lenoir P, Moulahi B, Azé J, Bringay S, Mercier G, Carbonnel F. Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign. Journal of Medical Internet Research 2017;19(10):e344 View
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  4. Liu R. Context‐based term frequency assessment for text classification. Journal of the American Society for Information Science and Technology 2010;61(2):300 View
  5. Sokolova M, El Emam K, Arbuckle L, Neri E, Rose S, Jonker E. P2P Watch: Personal Health Information Detection in Peer-to-Peer File-Sharing Networks. Journal of Medical Internet Research 2012;14(4):e95 View
  6. Goeuriot L, Na J, Kyaing W, Khoo C, Theng Y, Chang Y, Foo S. Textual and Informational Characteristics of Drug-Related Content on Three Kinds of Websites. International Journal of Organizational and Collective Intelligence 2011;2(3):27 View
  7. Huh J, Yetisgen-Yildiz M, Pratt W. Text classification for assisting moderators in online health communities. Journal of Biomedical Informatics 2013;46(6):998 View
  8. Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. Journal of Medical Internet Research 2011;13(1):e15 View
  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
  10. Liu R, Tung S, Lu Y. Extraction of Disease Factors from Medical Texts. Applied Artificial Intelligence 2015;29(1):49 View
  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
  3. . Library Classification Trends in the 21st Century. View
  4. Abdaoui A, Azé J, Bringay S, Grabar N, Poncelet P. Statistical Language and Speech Processing. View
  5. Holzinger A, Schantl J, Schroettner M, Seifert C, Verspoor K. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. View
  6. Liu R, Tung S, Lu Y. Intelligent Information and Database Systems. View

Conference Proceedings

  1. Chomutare T, Arsand E, Hartvigsen G. 2015 IEEE 28th International Symposium on Computer-Based Medical Systems. Mining Symptoms of Severe Mood Disorders in Large Internet Communities View
  2. Koufakou A, Gosselin J, Guo D. 2016 International Joint Conference on Neural Networks (IJCNN). Using data mining to extract knowledge from student evaluation comments in undergraduate courses View
  3. Goeuriot L, Na J, Min Kyaing W, Khoo C, Chang Y, Theng Y, Kim J. Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. Sentiment lexicons for health-related opinion mining View
  4. Kang D, Zheng H, Meng X. Proceedings of the 2023 6th International Conference on Information Management and Management Science. LDA Model-Based Analysis of ESG Report Themes Extraction -The Example of A-Share Listed Companies In 2021 View