Funder
Division of Information and Intelligent Systems
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Reference43 articles.
1. Akhtar, M. S., Kumar, A., Ghosal, D., Ekbal, A., and Bhattacharyya, P. (2017). A multilayer perceptron based ensemble technique for fine-grained financial sentiment analysis. In Proceedings of the 2017 conference on empirical methods in natural language processing (pp. 540–546).
2. Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–609.
3. Araci, D. (2019). Finbert: Financial sentiment analysis with pre-trained language models. arXiv preprint arXiv:1908.10063.
4. Brown, S. V., & Tucker, J. W. (2011). Large-sample evidence on firms’ year-over-year md &a modifications. Journal of Accounting Research, 49(2), 309–346.
5. Chang, C. Y., Zhang, Y., Teng, Z., Bozanic, Z., & Ke, B. (2016). Measuring the information content of financial news. In Proceedings of COLING 2016, the 26th international conference on computational linguistics: Technical papers (pp. 3216–3225).