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We linked names and contact information to publicly available profiles in the Personal Genome Project. These profiles contain medical and genomic information, including details about medications, procedures and diseases, and demographic information, such as date of birth, gender, and postal code. By linking demographics to public records such as voter(More)
In our final project, we took on the challenge of cross-domain classification–the adaptation of a model suitable for one domain to one or more different domains with identical features. Specifically, we developed a cross-domain classification schema to predict product categories in tweets and eBay reviews based on user reviews from Amazon. We first(More)
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