Maytal Saar-Tsechansky

University of Texas at Austin

Austin, TX 78712

United States

SCHOLARLY PAPERS

5

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2,582

SSRN CITATIONS
Rank 6,790

SSRN RANKINGS

Top 6,790

in Total Papers Citations

172

CROSSREF CITATIONS

21

Scholarly Papers (5)

1.

More than Words: Quantifying Language to Measure Firms' Fundamentals

9th Annual Texas Finance Festival
Number of pages: 48 Posted: 13 Aug 2006
Paul C. Tetlock, Maytal Saar-Tsechansky and Sofus Macskassy
Columbia Business School - Finance, University of Texas at Austin and Fetch Technologies, Inc
Downloads 1,830 (13,042)
Citation 197

Abstract:

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Market Efficiency, Underreaction, News Media, Qualitative Information, Language

2.

Using Retweets when Shape our Online Persona: A Topic Modeling Approach

Number of pages: 89 Posted: 08 Apr 2016 Last Revised: 27 Feb 2019
Hilah Geva, Gal Oestreicher-Singer and Maytal Saar-Tsechansky
Tel Aviv University - Faculty of Management, Tel Aviv University - Coller School of Management and University of Texas at Austin
Downloads 408 (101,870)
Citation 6

Abstract:

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Twitter, social networks, personal branding, identity signaling, topic modeling , LDA, retweet, persona, impression management

3.

Personality-Based Content Engineering for Rich Digital Media

Number of pages: 49 Posted: 16 May 2019 Last Revised: 07 Mar 2022
Haris Krijestorac, Rajiv Garg and Maytal Saar-Tsechansky
HEC Paris, Goizueta Business School, Emory University and University of Texas at Austin
Downloads 253 (169,556)

Abstract:

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content engineering, personality, rich digital media, random forests, natural language processing

4.

Active Feature-Value Acquisition

McCombs Research Paper Series No. IROM-08-06
Number of pages: 33 Posted: 16 Nov 2006
Maytal Saar-Tsechansky, Prem melville and Foster Provost
University of Texas at Austin, IBM Research and New York University
Downloads 91 (384,893)
Citation 5

Abstract:

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Information acquistion, predicitve modeling

5.

Algorithmic Fairness in Business Analytics: Directions for Research and Practice

Posted: 25 Jul 2022
Maria De-Arteaga, Stefan Feuerriegel and Maytal Saar-Tsechansky
University of Texas at Austin - Department of Information, Risk, and Operations Management, LMU Munich and University of Texas at Austin

Abstract:

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Business Analytics, Machine Learning, Fairness, Algorithmic Fairness