We generate and visualize a weighted semantic network from pairwise term-occurrence-counts to get insights on the structure of the raw text data
| Name | Description |
|---|---|
| Impelmentaion notebook | Provides with information about data manipulation, normalization, exploration, text network analysis and network data preparation |
| index.html | Part of frontend |
| py/ | Contains python scripts for data manipulation and normailzation |
| json/ | Provides with objects that contain POStags and the POS taggs colors |
| js/ | Provides scripts which handle network generation on the frontend |
| data/ | Contains the xml data used for the project |
| css/ | Frontend styling |