Elizabeth Surbeck

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The adjustment of probabilistic models for sentiment analysis to changes in language use and the perception of products can be realized via incremental learning techniques. We provide a free, open and GUI-based sentiment analysis tool that allows for a) relabeling predictions and/or adding labeled instances to retrain the weights of a given model, and b)(More)
The purpose of this analysis is to examine the correspondence between short-term ozone exposure and respiratory illness hospital reports, adopting from the methods used in “Metaanalysis of the Association between Short-Term Exposure to Ambient Ozone and Respiratory Hospital Admissions” by Meng Ji, Daniel S. Cohan, and Michelle L. Bell. This meta-analysis(More)
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