David Martens

University of Antwerp

Faculty of Applied Economics

Prinsstraat 13

Antwerp, 2000

Belgium

  • University of Antwerp

SCHOLARLY PAPERS

6

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8

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3

Scholarly Papers (6)

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1.

Pseudo-Social Network Targeting from Consumer Transaction Data

NYU Working Paper No. CEDER-11-05
Number of pages: 31 Posted: 28 Sep 2011
David Martens and Foster Provost
University of Antwerp and New York University
Downloads 917 (39,092)

Abstract:

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2.

Explaining Data-Driven Document Classifications

NYU Working Paper No. 2451/31831
Number of pages: 54 Posted: 24 Jun 2013
David Martens and Foster Provost
University of Antwerp and New York University
Downloads 456 (96,139)
Citation 2

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Document Classification, Instance Level Explanation, Text mining, Comprehensibility

3.

Wallenius Naive Bayes

NYU Working Paper No. 2451/33545
Number of pages: 12 Posted: 21 Dec 2013
Enric Junqué de Fortuny, David Martens and Foster Provost
Independent, University of Antwerp and New York University
Downloads 209 (219,037)

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4.

Between Hawks and Doves: Measuring Central Bank Communication

ECB Working Paper No. 2085
Number of pages: 41 Posted: 06 Jul 2017
Ellen Tobback, Stefano Nardelli and David Martens
University of Antwerp, European Central Bank (ECB) and University of Antwerp
Downloads 205 (222,929)
Citation 4

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Monetary policy, communication, data mining, quantitative methods

5.

Comparing Automated Content Analysis Methods To Distinguish Issue Communication by Political Parties on Twitter

Number of pages: 33 Posted: 12 Mar 2021
Stiene Praet, Peter Van Aelst, Walter Daelemans, Tim Kreutz, Jeroen Peeters, Stefaan Walgrave and David Martens
University of Antwerp - Faculty of Applied Economics, University of Antwerp - Department of Political Science, University of Antwerp - Department of Linguistics, University of Antwerp - Department of Linguistics, University of Antwerp - Department of Political Science, University of Antwerp and University of Antwerp
Downloads 136 (315,303)

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CAP issues, issue communication, political parties, classification models, CAP dictionary, Bag of Words, Topic Modeling

6.

Explaining Documents' Classifications

NYU Working Paper No. CEDER-11-01
Posted: 17 Mar 2011
David Martens and Foster Provost
University of Antwerp and New York University

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