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Patient's Rationale: Patient Knowledge Retrieval From Health Forums

Authors:
Soumia Melzi
Amine Abdaoui
Jérôme Azé
Sandra Bringay
Pascal Poncelet
Florence Galtier

Keywords: Health forum analysis, emotion analysis, text mining

Abstract:
Online health forums are areas of exchange where patients, on condition of anonymity, can speak freely on their personal experiences. These resources are a gold mine for health professionals—giving them access to patient to patient, patient to health professional and even health professional to health professional exchanges. In this study, we used text mining techniques to analyse health forums in order to extract emotions (e.g., joy, anger, surprise, etc.) expressed by patients. After a study of real messages, we demonstrate the difficulty of manual annotation due to the low level of agreement between humans. We propose a method to identify the polarity of a message and extract one or several emotions. This method was validated on a substantial real dataset.

Pages: 140 to 145

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-327-8

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014