{"title":"Text Mining for Personal Health Information on Twitter","authors":"Marina Sokolova, Yasser Jafer, D. Schramm","doi":"10.1109/HISB.2012.37","DOIUrl":null,"url":null,"abstract":"With millions people discussing their Personal Health Information (PHI) online, there is a need for the development of tools that can extract and analyze such information. We introduce two semantic-based methods for mining PHI. One method uses WordNet as a source of health-related knowledge, another - terms of personal relations. Incorporating semantics gives a significant improvement in retrieval of text with PHI (paired t-test, P = 0.0001).","PeriodicalId":375089,"journal":{"name":"2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology","volume":"300 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HISB.2012.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
With millions people discussing their Personal Health Information (PHI) online, there is a need for the development of tools that can extract and analyze such information. We introduce two semantic-based methods for mining PHI. One method uses WordNet as a source of health-related knowledge, another - terms of personal relations. Incorporating semantics gives a significant improvement in retrieval of text with PHI (paired t-test, P = 0.0001).
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