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Rosario, Ryan Robert – ProQuest LLC, 2017
Text classification typically performs best with large training sets, but short texts are very common on the World Wide Web. Can we use resampling and data augmentation to construct larger texts using similar terms? Several current methods exist for working with short text that rely on using external data and contexts, or workarounds. Our focus is…
Descriptors: Classification, Models, Semantics, Electronic Publishing

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