The Firm Life Cycle Forecasting Model Using Machine Learning Based on News Articles
- https://doi.org/10.2991/ijndc.k.201218.002How to use a DOI?
- Firm life cycle prediction, news analysis, machine learning, text feature selection
The determination of the firm life cycle has been carried out in relation to the establishment of corporate strategy in the field of accounting or management. The life cycle prediction based on financial information is long because it is determined based on the financial performance of the entity over a year. This study sought to lay the foundation for overcoming this by using news articles to predict the life cycle of a company. In the process of quantifying news article data and predicting the firm life cycle, the method of selecting keywords that can represent the firm life cycle is presented, and the life cycle prediction model is verified with four machine learning techniques using selected candidate keywords. In this study, all four machine learning techniques showed a predicted static classification rate of nearly 60%, demonstrating the availability of news articles, which are unstructured text data, in predicting the corporate life cycle.
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Si Young Lee AU - Sae Yong Oh AU - Sangwook Lee AU - Gwang Yong Gim PY - 2021 DA - 2021/01 TI - The Firm Life Cycle Forecasting Model Using Machine Learning Based on News Articles JO - International Journal of Networked and Distributed Computing SP - 1 EP - 9 VL - 9 IS - 1 SN - 2211-7946 UR - https://doi.org/10.2991/ijndc.k.201218.002 DO - https://doi.org/10.2991/ijndc.k.201218.002 ID - Lee2021 ER -