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Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks
businesscomputer-sciencesdata-sciencehealth-information-technologynatural-language-processingphysical-sciences-and-mathematicstext-classificationtransfer-learning
Corpuses of unstructured textual data, such as text messages between individuals, are often predictive of medical issues such as depression. The text data usually used in healthcare applications has high value and great variety, but is typically small in volume. Generating labeled unstructured text
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