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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