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Mining semantic features in patent text for financial distress prediction · Study

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ArticleMining semantic features in patent text for financial distress prediction

Cuiqing Jiang2023

Article2023

Mining semantic features in patent text for financial distress prediction

Cuiqing Jiang · Yiru Zhou · Bo Chen

46 citations·0/0 files stored·Technological Forecasting and Social Change

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Intellectual Property and Patents

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 46 citations exist upstream.

References

2017Technological Innovation, Resource Allocation, and Growth*2008In Search of Distress Risk 2004‘Globalizing’ regional development: a global production networks perspective 2000Imitation of Complex Strategies 2002Patents, Citations, and Innovations: A Window on the Knowledge Economy 2016Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems 2016The Geography of Complex Knowledge

Cited by

2024ESG performance and financial distress prediction of energy enterprises 2024Predicting financial distress using current reports: A novel deep learning method based on user-response-guided attention 2024Cost-sensitive stacking ensemble learning for company financial distress prediction 2024Financial distress prediction with annual reports-based deep textual feature extraction: A hybrid approach 2025Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework 2023Financial distress prediction using the Q&A text of online interactive platforms 2024Diagnosis with incomplete multi-view data: A variational deep financial distress prediction method 2024Citations or dollars? Early signals of a firm’s research success

Details

Year2023

Typearticle

Published2023-03-08

VenueTechnological Forecasting and Social Change

ISSN-L0040-1625

Languageen

Citations46

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

Identifiers

doi10.1016/j.techfore.2023.122450

openalex_workW4323536724

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