Natural Language Analysis of Online Health Forums

نویسندگان

  • Abul Hasan
  • Mark Levene
  • David J. Weston
چکیده

Research Aims Despite advances in concept extraction from free text, finding meaningful health related information from online patient forums still poses a significant challenge. We demonstrate a rule based natural language processing (NLP) system to extract structured information from posts found in such online health related forums by forming relationships between a drug/treatment and a symptom or side effect, including the polarity/sentiment of the patient. We termed this relationship as disease triple or simply a triple. A motivating example

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تاریخ انتشار 2017