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Computer Science

D-Index
42
Citations
13288
World Ranking
8171
National Ranking
135

Overview

Ronen Feldman is affiliated with the Hebrew University of Jerusalem in Israel. Their research primarily focuses on the fields of Business, Management and Accounting, and Economics, Econometrics and Finance. Within these broad areas, specific subfields of study include Accounting, Finance, and Strategy and Management.

The main topics of Ronen Feldman's work cover several aspects of financial and corporate research. These topics include Auditing, Earnings Management, Governance; Financial Markets and Investment Strategies; Corporate Finance and Governance; and Financial Reporting and Valuation Research.

Ronen Feldman has published research in a number of venues, with contributions appearing in the Journal of Accounting and Public Policy, Journal of Financial Reporting, and SSRN Electronic Journal.

Recent published papers include:

  • Market reaction to quantitative and qualitative order backlog disclosures (2021, Journal of Accounting and Public Policy)
  • Orders Backlog in Earnings Conference Calls (2022, Journal of Financial Reporting)
  • Orders Backlog in Earnings Conference Calls (2020, SSRN Electronic Journal)

Frequent co-authors in Ronen Feldman's research include Suresh Govindaraj, Joshua Livnat, and Kate Suslava, each collaborating on multiple papers.

Best Publications

  • The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

    Ronen Feldman;James Sanger

  • Techniques and applications for sentiment analysis

    Ronen Feldman

  • Knowledge discovery in Textual Databases (KDT)

    Ronen Feldman;Ido Dagan

  • Mine Your Own Business: Market-Structure Surveillance Through Text Mining

    Oded Netzer;Ronen Feldman;Jacob Goldenberg;Moshe Fresko

  • Mining the biomedical literature in the genomic era: an overview.

    Hagit Shatkay;Ronen Feldman

  • Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

    Ronen Feldman;James Sanger

  • Text Mining at the Term Level

    Ronen Feldman;Moshe Fresko;Yakkov Kinar;Yehuda Lindell

  • Mining Text Using Keyword Distributions

    Ronen Feldman;Ido Dagan;Haym Hirsh

  • Mining associations in text in the presence of background knowledge

    Ronen Feldman;Haym Hirsh

  • Information, Trading, and Volatility: Evidence from Firm-Specific News

    Jacob Boudoukh;Ronen Feldman;Shimon Kogan;Matthew Richardson

  • Term-level text with mining with taxonomies

    Ronen Feldman;Yehonatan Aumann;Jonathan Schler;David Landau

  • Displaying Time-Series Data and Correlated Events Derived from Text Mining

    David Landau;Ronen Feldman;Orly Lipshatz;Yonatan Aumann

  • Knowledge Management: A Text Mining Approach

    R. Feldman;M. Fresko;H. Hirsh;Y. Aumann

  • Efficient Algorithms for Discovering Frequent Sets in Incremental Databases.

    Ronen Feldman;Yonatan Aumann;Amihood Amir;Heikki Mannila

  • Identifying and Following Expert Investors in Stock Microblogs

    Roy Bar-Haim;Elad Dinur;Ronen Feldman;Moshe Fresko

  • The Stock Sonar — Sentiment Analysis of Stocks Based on a Hybrid Approach

    Ronen Feldman;Benjamin Rosenfeld;Roy Bar-Haim;Moshe Fresko

  • Determining trends using text mining

    Ronen Feldman;Yehonatan Aumann;Yaron Ben-Yehuda;David Landau

  • Exploiting Background Information in Knowledge Discovery from Text

    Ronen Feldman;Haym Hirsh

  • Extracting Product Comparisons from Discussion Boards

    R. Feldman;M. Fresko;J. Goldenberg;O. Netzer

  • TEG—a hybrid approach to information extraction

    Ronen Feldman;Benjamin Rosenfeld;Moshe Fresko

Frequent Co-Authors

Moshe Koppel
Moshe Koppel Bar-Ilan University
Amihood Amir
Amihood Amir Bar-Ilan University
Haym Hirsh
Haym Hirsh Cornell University
Lyle H. Ungar
Lyle H. Ungar University of Pennsylvania
Ido Dagan
Ido Dagan Bar-Ilan University
Yehuda Lindell
Yehuda Lindell Bar-Ilan University
Martin Charles Golumbic
Martin Charles Golumbic University of Haifa
Lise Getoor
Lise Getoor University of California, Santa Cruz
Oren Etzioni
Oren Etzioni University of Washington
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute

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