Supervised learning models to predict firm performance with annual reports: An empirical study-Reference-Cited by-同舟云学术

Supervised learning models to predict firm performance with annual reports: An empirical study

Published:2013-11-20 Issue:2 Volume:65 Page:400-413
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:J Assn Inf Sci Tec

Author:

Qiu Xin Ying¹,Srinivasan Padmini²,Hu Yong³⁴

Affiliation:

1. CISCO School of Informatics; Guangdong University of Foreign Studies; No. 178, Waihuandong Road, Higher Education Mega Center, Panyu District Guangzhou Guangdong China 510006

2. Computer Science Department, 101F MacLean Hall; The University of Iowa; Iowa City IA

3. Institute of Business Intelligence and Knowledge Discovery; Guangdong University of Foreign Studies; No. 178, Waihuandong Road, Higher Education Mega Center, Panyu District Guangzhou Guangdong China 510006

4. School of Business; Sun Yat-sen University; No. 178, Waihuandong Road, Higher Education Mega Center, Panyu District Guangzhou Guangdong China 510006

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Reference41 articles.

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4. Yahoo! for Amazon: Sentiment extraction from small talk on the web;Das;Management Science,2007

5. Management's tone change, post earnings announcement drift and accruals;Feldman;Review of Accounting Studies,2010

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