Sentiment analysis and innovation news in bankruptcy prediction models
Valishina, Irina (A.A. 2022/2023) Sentiment analysis and innovation news in bankruptcy prediction models. Tesi di Laurea in Empirical finance, Luiss Guido Carli, relatore Giacomo Morelli, pp. 52. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Literature review. Impact of innovation on bankruptcy. Impact of R&D on company performance. Research hypotheses. Methodology. Text mining with bag-of-words (BoW) technique. Extraction the main topics. Sentiment analysis. Modelling. Data. Textual data. Results. Choice of non-textual factors. Model training and testing.
References
Bibliografia: pp. 33-36.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Economics and Finance (LM-56) |
| Chair: | Empirical finance |
| Thesis Supervisor: | Morelli, Giacomo |
| Thesis Co-Supervisor: | Cybo, Ottone Alberto |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 16 Jan 2024 15:25 |
| Last Modified: | 16 Jan 2024 15:25 |
| URI: | https://tesi.luiss.it/id/eprint/37588 |
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