Nasdaq, Inc.

Yu-Hsuan Jou

Hyunsoo Jeong

Yongheng Zhang

Systems and methods that provide improved (e.g., higher accuracy and time-efficient) aggregation of report data are described. Example embodiments effectively combine machine learning and deep learning in a processing pipeline to classify unlabeled source data to determine a reliable classification, or a labeling, of that source data. The classified or labeled source data can be used to generate reports that provide extensive insight into the aggregated source data.

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Somerville, MA, United States of America

Yu-Hsuan Jou