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

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
  3. Syed-Abdul S, Fernandez-Luque L, Jian W, Li Y, Crain S, Hsu M, Wang Y, Khandregzen D, Chuluunbaatar E, Nguyen P, Liou D. Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube. Journal of Medical Internet Research 2013;15(2):e30 View
  4. Liu R. Context-based term frequency assessment for text classification. Journal of the American Society for Information Science and Technology 2009:n/a 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 2021:1 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