7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Cancer is a critical disease that affects millions of people and families around the world. In 2012 about 14.1 million new cases of cancer occurred globally. Because of many reasons like the severity of some cases, the side effects of some treatments and death of other patients, cancer patients tend to be affected by serious emotional disorders, like depression, for instance. Thus, monitoring the mood of the patients is an important part of their treatment. Many cancer patients are users of online social networks and many of them take part in cancer virtual communities where they exchange messages commenting about their treatment or giving support to other patients in the community. Most of these communities are of public access and thus are useful sources of information about the mood of patients. Based on that, Sentiment Analysis methods can be useful to automatically detect positive or negative mood of cancer patients by analyzing their messages in these online communities.

          Related collections

          Author and article information

          Journal
          Int J Med Inform
          International journal of medical informatics
          Elsevier BV
          1872-8243
          1386-5056
          Jan 2016
          : 85
          : 1
          Affiliations
          [1 ] Instituto de Informática, Universidade Federal de Goiás, PO Box 131, CEP 74001-970, Brazil. Electronic address: ramongouveia@inf.ufg.br.
          [2 ] Instituto de Informática, Universidade Federal de Goiás, PO Box 131, CEP 74001-970, Brazil. Electronic address: rafamdd@gmail.com.
          [3 ] Instituto de Informática, Universidade Federal de Goiás, PO Box 131, CEP 74001-970, Brazil. Electronic address: celsocamilo@gmail.com.
          [4 ] Instituto de Informática, Universidade Federal de Goiás, PO Box 131, CEP 74001-970, Brazil. Electronic address: thierson@inf.ufg.br.
          Article
          S1386-5056(15)30042-3
          10.1016/j.ijmedinf.2015.09.007
          26514078
          c628cd9e-3b96-497e-8a51-221fdcdc091b
          History

          Cancer,Facebook,Online social networks,Opinion mining,Sentiment analysis

          Comments

          Comment on this article