SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks
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- 作者：Ramon Gouveia Rodrigues ; ramongouveia@inf.ufg.br" class="auth_mail" title="E-mail the corresponding author ; Rafael Marques das Dores rafamdd@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Celso G. Camilo-Junior celsocamilo@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Thierson Couto Rosa thierson@inf.ufg.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Sentiment analysis ; Opinion mining ; Online social networks ; Facebook ; Cancer
- 刊名：International Journal of Medical Informatics
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：85
- 期：1
- 页码：80-95
- 全文大小：757 K
文摘
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Hashtags and emoticons is helpful to the Sentiment Analysis (SA) of patients.
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The SA helps to identify the mood of authors when themselves are the target.
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Proposed SentiHealth identifies the mood of the people in the disease context.
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Proposed SentiHealth-Cancer helps to monitor the mood of people related to cancer.