Beyond opinion classification: Extracting facts, opinions and experiences from health forums

Surveys indicate that patients, particularly those suffering from chronic conditions, strongly benefit from the information found in social networks and online forums. One challenge in accessing online health information is to differentiate between factual and more subjective information. In this wo...

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Bibliographic Details
Published in:PloS one 2019-01, Vol.14 (1), p.e0209961
Main Authors: Carrillo-de-Albornoz, Jorge, Aker, Ahmet, Kurtic, Emina, Plaza, Laura
Format: Article
Language:English
Subjects:
Algorithms
Allergies
Artificial intelligence
Biology and Life Sciences
Breast cancer
Care and treatment
Chronic conditions
Chronic diseases
Chronic illnesses
Classification
Computer and Information Sciences
Crohn's disease
Diagnosis
Feasibility studies
Health
Health Information Exchange
Humans
International conferences
Internet
Language
Learning algorithms
Linguistics
Machine Learning
Medicine and Health Sciences
Online health care information services
Patients
Physical Sciences
Polarity
Research and Analysis Methods
Semantic Web
Semantics
Sentences
Sentiment analysis
Social networks
Social organization
Social Sciences
Support Vector Machine
Support vector machines
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