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Additional insights are extracted through the development of categories or keywords contained in the blogs, the development of a taxonomy and the examination of relationships among the categories. The application has the potential for generalizability and implementation with health content in other blogs and social media. It has the potential to provide insight and decision support for cancer management and to facilitate the efficient and relevant search for information on cancer.<\/p>","DOI":"10.4018\/ijhisi.2014040102","type":"journal-article","created":{"date-parts":[[2014,10,6]],"date-time":"2014-10-06T12:07:05Z","timestamp":1412597225000},"page":"16-33","source":"Crossref","is-referenced-by-count":1,"title":["An Unstructured Information Management Architecture Approach to Text Analytics of Cancer Blogs"],"prefix":"10.4018","volume":"9","author":[{"given":"Viju","family":"Raghupathi","sequence":"first","affiliation":[{"name":"Brooklyn College, City University of New York, Brooklyn, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wullianallur","family":"Raghupathi","sequence":"additional","affiliation":[{"name":"Graduate School of Business, Fordham University, New York City, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijhisi.2014040102-0","unstructured":"American Cancer Society. 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