| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6926708 | International Journal of Medical Informatics | 2016 | 70 Pages |
Abstract
This paper presents two contributions. First, it proposes the method SentiHealth to detect the mood of cancer patients that are also users of communities of patients in online social networks. Second, it presents an instantiated tool from the method, called SentiHealth-Cancer (SHC-pt), dedicated to automatically analyze posts in communities of cancer patients, based on SentiHealth. This context-tailored tool outperformed other general-purpose sentiment analysis tools at least in the cancer context. This suggests that the SentiHealth method could be instantiated as other disease-based tools during future works, for instance SentiHealth-HIV, SentiHealth-Stroke and SentiHealth-Sclerosis.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ramon Gouveia Rodrigues, Rafael Marques das Dores, Celso G. Camilo-Junior, Thierson Couto Rosa,