| 21 | | 1. Train LSA and LDA models of the corpus for various topics using Gensim. Use [[https://colab.research.google.com/drive/1nTJaNkwclqBSI6Kk6X_uUHLtViWgbe_S?usp=sharing|Google Colab]]. |
| 22 | | 1. Check the coherence for various parameters. |
| 23 | | 1. Select the best model for both LSA and LDA (by looking at the data or by coherence). |
| 24 | | 1. For each model, select the two most significant topics that make sense to you and compare them with the coherence score. Give them a name, save it into a `<YOUR_FILE>`, and submit it to the homework vault (Odevzdavarna). |
| | 21 | 1. Train LSA and LDA models of the corpus for various topics using Gensim. Use [[https://colab.research.google.com/drive/19eaNzohQrukz-gepu6bKuBr7AXUIA1Ct?usp=sharing|Google Colab]]. |
| | 22 | 1. Follow instructions in the Colab. |
| | 23 | 1. Ssave it into a `<YOUR_FILE>` and submit it to the homework vault (Odevzdavarna). |
