| | --- |
| | license: apache-2.0 |
| | language: |
| | - de |
| | base_model: |
| | - spacy/de_core_news_sm |
| | library_name: spacy |
| | tags: |
| | - e-portfolios |
| | - computer-science |
| | - learning |
| | --- |
| | |
| | # AISOP-MdL-classifiers |
| |
|
| | This is a series of spacy models for the classification tasks. |
| |
|
| | ## Try it here |
| |
|
| | - Install spaCy |
| | - `python python recognize.py l1-model l2-models "Outro intro zooming"` |
| |
|
| | Yields an output such as |
| | {"Tonebene": {"score": 0.99, |
| | "subs": {"Musik": 0.4, "Geraeusche": 0.34, "Sprache": 0.3}}} |
| | |
| |
|
| | ## Web-App Packaging |
| |
|
| | This model is part of the AISOP-domain-fundid https://gitlab.com/aisop/aisop-domain-mdl which is designed to serve for the [AISOP-webapp](https://gitlab.com/aisop/aisop-webapp). |
| |
|
| | The [python scripts](https://gitlab.com/aisop/aisop-webapp/-/tree/main/scripts/python?ref_type=heads) there use the models and the spaCy library to classify each "paragraph" of e-portfolios stored in HTML and even generate words using tesseract (if the picture is available) and annotate them too. |
| |
|
| | The scripts enrich the HTML with `data-topic-*` attributes, indicating the presence of topics in the paragraphs. |
| |
|
| | The scripts can be tested in the web-app in the `/debug/` road. |
| |
|
