Mining and Visualizing Cost and Schedule Risks from News Articles with NLP and Network Analysis-Reference-Cited by-同舟云学术

Mining and Visualizing Cost and Schedule Risks from News Articles with NLP and Network Analysis

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
language:
Short-container-title:

Author:

Gao Nan¹²³,Touran Ali¹²³,Wang Qi¹²³

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA.

2. Professor, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA.

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784483961.034

Reference15 articles.

1. Bhadani, S., Verma, I., and Dey, L. (2019). Mining financial risk events from news and assessing their impact on stocks. In Workshop on Mining Data for Financial Applications (pp. 85–100). Springer, Cham.

2. Boulis, C., and Ostendorf, M. (2005). Text classification by augmenting the bag-of-words representation with redundancy-compensated bigrams. In Proc. of the International Workshop in Feature Selection in Data Mining (pp. 9–16). Citeseer.

3. Knowledge discovery from post-project reviews

4. Five things you should know about cost overrun

5. Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Causes of Incomplete Risk Identification in Major Transportation Engineering and Construction Projects;Transportation Research Record: Journal of the Transportation Research Board;2024-07-27

2. Identification of Critical Transportation Risk Factors Using DEMATEL;Construction Research Congress 2024;2024-03-18

3. News Topic Modeling for International Construction Projects Based on Text Clustering Using Bidirectional Encoder Representations from Transformers (Bert);2023

4. An NLP Approach for Extracting Practical Knowledge from a CMS-Based Community of Practice in E-Learning;Knowledge;2022-06-01