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--- |
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license: apache-2.0 |
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language: |
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- de |
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base_model: |
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- spacy/de_core_news_sm |
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pipeline_tag: text-classification |
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library_name: spacy |
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tags: |
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- e-portfolios |
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- programming |
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- computer-science |
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- learning |
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--- |
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# AISOP-oop-classifiers |
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This is a series of spacy models for the classification tasks. |
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## Try it here |
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- Install spaCy |
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- `python python recognize.py l1-model l2-models "this is a text"` |
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...outputs the recognition in JSON. |
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## Web-App Packaging |
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This model is part of the AISOP-domain-fundid https://gitlab.com/aisop/aisop-domain-oop which is designed to serve for the [AISOP-webapp](https://gitlab.com/aisop/aisop-webapp). |
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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. |
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The scripts enrich the HTML with `data-topic-*` attributes, indicating the presence of topics in the paragraphs. |
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The scripts can be tested in the web-app in the `/debug/` road. |
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