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We release EDGAR-CORPUS, a novel corpus comprising annual reports from all the publicly traded companies in the US spanning a period of more than 25 years.
Predicting risk from financial reports with regression
Shimon Kogan, Dimitry Levin, Bryan R. Routledge, Jacob S. Sagi, and Noah A. Smith. 2009 · 2009
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Software Framework for Topic Modelling with Large Corpora
Radim Řehůřek and Petr Sojka. 2010 · 2010
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Beyond the numbers: Mining the annual reports for hidden cues indicative of financial statement fraud
Sunita Goel and Jagdish Gangolly. 2012 · 2012
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Efficient estimation of word representations in vector space
Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a · 2013
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Distributed representations of words and phrases and their compositionality
Tomás Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013b · 2013
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On the importance of text analysis for stock price prediction
Heeyoung Lee, Mihai Surdeanu, Bill MacCartney, and Dan Jurafsky. 2014 · 2014
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Accounting variables, deception, and a bag of words: Assessing the tools of fraud detection
Lynnette Purda and David Skillicorn. 2015 · 2015
Earlier work this paper cites.
Do sentiments matter in fraud detection? estimating semantic orientation of annual reports
Sunita Goel and Özlem Uzuner. 2016 · 2016
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Textual analysis in accounting and finance: A survey
Tim Loughran and Bill McDonald. 2016 · 2016
Cited alongside, same era.
Discovering finance keywords via continuous-space language models
Ming-Feng Tsai, Chuan-Ju Wang, and Po-Chuan Chien. 2016 · 2016
Cited alongside, same era.
Proceedings of the First Workshop on Economics and Natural Language Processing . Melbourne, Australia
Udo Hahn, Véronique Hoste, and Ming-Feng Tsai, editors. 2018 · 2018
Cited alongside, same era.
A corpus of corporate annual and social responsibility reports: 280 million tokens of balanced organizational writing
Sebastian G.M. Händschke, Sven Buechel, Jan Goldenstein, Philipp Poschmann, Tinghui Duan, Peter Walgenbach, and Udo Hahn. 2018 · 2018
Cited alongside, same era.
Www’18 open challenge: Financial opinion mining and question answering
Macedo Maia, S. Handschuh, A. Freitas, Brian Davis, R. McDermott, M. Zarrouk, and A. Balahur. 2018 · 2018
Cited alongside, same era.
Proceedings of the Second Workshop on Economics and Natural Language Processing . Hong Kong
Udo Hahn, Véronique Hoste, and Zhu Zhang, editors. 2019 · 2019
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Deal or no deal: Predicting mergers and acquisitions at scale
Ryan Moriarty, Howard Ly, Ellie Lan, and Suzanne McIntosh. 2019 · 2019
Later among the works it cites.
Proceedings of the Second Workshop on Financial Technology and Natural Language Processing . Kyoto, Japan
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, and Hsin-Hsi Chen, editors. 2020 · 2020
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Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation . Barcelona, Spain (Online)
Mahmoud El-Haj, Vasiliki Athanasakou, Sira Ferradans, Catherine Salzedo, Ans Elhag, Houda Bouamor, Marina Litvak, Paul Rayson, George Giannakopoulos, and Nikiforos Pittaras, editors. 2020 · 2020
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spaCy: Industrial-strength Natural Language Processing in Python
Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyd. 2020 · 2020
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Umap: Uniform manifold approximation and projection
Leland McInnes, John Healy, Nathaniel Saul, and Lukas Grossberger. 2018 · 2018
Cited alongside, same era.
CoFiF: A corpus of financial reports in French language
Tobias Daudert and Sina Ahmadi. 2019 · 2019
Cited alongside, same era.
Using Annual Report Sentiment as a Proxy for Financial Distress in U.S. Banks
Priyank Gandhi, Tim Loughran, and Bill McDonald. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Textual Information and IPO Underpricing: A Machine Learning Approach
Apostolos G. Katsafados, Ion Androutsopoulos, Ilias Chalkidis, Manos Fergadiotis, George N. Leledakis, and Emmanouil G. Pyrgiotakis. 2020 · 2020
Later among the works it cites.
Finsim-3: The 3rd shared task on learning semantic similarities for the financial domain
Sandra Bellato Juyeon Kang, Ismail El Maarouf and Mei Gan. 2021 · 2021
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Using textual analysis to identify merger participants: Evidence from the u.s. banking industry
Apostolos G. Katsafados, Ion Androutsopoulos, Ilias Chalkidis, Emmanouel Fergadiotis, George N. Leledakis, and Emmanouil G. Pyrgiotakis. 2021 · 2021
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