Sentiment analysis models in comparison: a practical approach
Morabito, Francesco (A.A. 2021/2022) Sentiment analysis models in comparison: a practical approach. Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Saverio Bozzolan, pp. 97. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Text and opinion mining: definitions and main objectives. The concept of opinion, entity, and aspect. Sentiment lexicon: SentiWordNet. Emotion analysis in the study of sentiment. Emotion and sarcasm detection. Data acquisition for sentiment analysis techniques. Text pre-processing. The bag of words model. The engine of sentiment analysis: machine learning. Dictionary methods. Supervised learning methods. Supervised classification methods. Deep learning classification methods. Development environment: Google Colab.
References
Bibliografia: pp. 81-82.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77) |
| Chair: | Financial statement analysis |
| Thesis Supervisor: | Bozzolan, Saverio |
| Thesis Co-Supervisor: | Magnanelli, Barbara Sveva |
| Academic Year: | 2021/2022 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 29 Nov 2022 08:20 |
| Last Modified: | 29 Nov 2022 08:20 |
| URI: | https://tesi.luiss.it/id/eprint/34120 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
