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Mining semantic features in patent text for financial distress prediction

  • Published:2023-05 Issue: Volume:190 Page:122450
  • ISSN:0040-1625
  • Container-title:Technological Forecasting and Social Change
  • language:en
  • Short-container-title:Technological Forecasting and Social Change

Author:

Jiang Cuiqing,Zhou Yiru,Chen Bo

Funder

Natural Science Foundation of Anhui Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference102 articles.

1. A literature review on the state-of-the-art in patent analysis;Abbas;World Patent Inf.,2014

2. Corporate social responsibility performance, financial distress and firm life cycle: evidence from Australia;Al-Hadi;Account. Finance,2019

3. Accounting, financial distress prediction in an international context: a review and empirical analysis of Altman's Z-score model;Altman;J. Int. Financ. Manag. Acc.,2017

4. Deriving technology intelligence from patents: preposition-based semantic analysis;An;J.Informetrics,2018

5. Knowledge complexity and the mechanisms of knowledge generation and exploitation: the European evidence;Antonelli;Res. Policy,2020
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