کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6926708 | 1449103 | 2016 | 70 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Medical Informatics - Volume 85, Issue 1, January 2016, Pages 80-95
Journal: International Journal of Medical Informatics - Volume 85, Issue 1, January 2016, Pages 80-95
نویسندگان
Ramon Gouveia Rodrigues, Rafael Marques das Dores, Celso G. Camilo-Junior, Thierson Couto Rosa,