Multi-factor prediction of stock market index based on LSTM neural networks with BERT embedding
| Thesis title in Czech: | Vícefaktorová predikce indexu akciového trhu založená na neuronových sítích LSTM s vložením BERT |
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| Thesis title in English: | Multi-factor prediction of stock market index based on LSTM neural networks with BERT embedding |
| Key words: | Akciový index, sentiment investorů, model LSTM, BERT |
| English key words: | Stock index, investor sentiment, LSTM model, BERT |
| Academic year of topic announcement: | 2019/2020 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Institute of Economic Studies (23-IES) |
| Supervisor: | doc. PhDr. Ing. et Ing. Petr Jakubík, Ph.D., Ph.D. |
| Author: | hidden - assigned by the advisor |
| Date of registration: | 28.09.2020 |
| Date of assignment: | 28.09.2020 |
| Date and time of defence: | 29.01.2025 09:00 |
| Venue of defence: | Opletalova, O314, místnost. č. 314 |
| Date of electronic submission: | 14.01.2025 |
| Date of proceeded defence: | 29.01.2025 |
| Opponents: | Mgr. Luboš Hanus, Ph.D. |