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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01fb494b586
Title: Combining Topic Features with Text Classification for Predicting Abnormal Returns Using News Articles
Authors: Fan, Kevin
Advisors: d'Aspremont, Alexandre
Department: Operations Research and Financial Engineering
Class Year: 2009
Extent: 52 Pages
Other Identifiers: 22965
URI: http://arks.princeton.edu/ark:/88435/dsp01fb494b586
Location : This thesis can be viewed in person at the Mudd Manuscript Library. To order a copy complete the Senior Thesis Request Form. For more information contact mudd@princeton.edu.
Type of Material: Princeton University Senior Theses
Appears in Collections:Operations Research and Financial Engineering, 2000-2020

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