Personal profile
Research interests
Feldman is an expert in text mining and data mining, and his research areas include Information Extraction (IE), algorithmic trading, social networks, natural language processing, extracting meaning and relationships from text, and sentiment analysis from texts.
Education/Academic qualification
Oct 1989 → Sep 1993
Bar-Ilan University
Oct 1984 → Sep 1988
Bachelor
Oct 1981 → Sep 1984
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Orders Backlog in Earnings Conference Calls
Feldman, R., Govindaraj, S., Livnat, J. & Suslava, K., 2022, In: Journal of Financial Reporting. 7, 2, p. 83-104 22 p.The Hebrew University of Jerusalem
Research output: Contribution to journal › Article › peer-review
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Market reaction to quantitative and qualitative order backlog disclosures
Feldman, R., Govindaraj, S., Livnat, J. & Suslava, K., 1 Oct 2021, In: Journal of Accounting and Public Policy. 40, 6, 106897.The Hebrew University of Jerusalem
Research output: Contribution to journal › Article › peer-review
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Information, trading, and volatility: Evidence from firm-specific news
Boudoukh, J., Feldman, R., Kogan, S. & Richardson, M., 1 Mar 2019, In: Review of Financial Studies. 32, 3, p. 992-1033 42 p.The Hebrew University of Jerusalem
Research output: Contribution to journal › Article › peer-review
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Exploiting the Focus of the Document for Enhanced Entities' Sentiment Relevance Detection
Ben-Ami, Z., Feldman, R. & Rosenfeld, B., 29 Jan 2016, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Wu, X., Tuzhilin, A., Xiong, H., Dy, J. G., Aggarwal, C., Zhou, Z.-H. & Cui, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1284-1293 10 p. 7395816. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).The Hebrew University of Jerusalem
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Utilizing text mining on online medical forums to predict label change due to adverse drug reactions
Feldman, R., Netzer, O., Peretz, A. & Rosenfeld, B., 10 Aug 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. p. 1779-1788 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).The Hebrew University of Jerusalem
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review