initial commit

# AISOP-fundid-classifiers

This is a series of spacy models for the classification tasks with topics/labels in the concept map of the course "Objekt-orientierte Programmierung".

## Try it here

- Install spaCy
- `python python recognize.py l1-model l2-models "this is a text"`

## Web-App Packaging

This model is part of the [AISOP-domain-OOP Domain](https://gitlab.com/aisop/aisop-domain-oop) 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.

README.md

@@ -1,3 +1,14 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- de
+base_model:
+- spacy/de_core_news_sm
+pipeline_tag: text-classification
+library_name: spacy
+tags:
+- e-portfolios
+- programming
+- computer-science
+- learning
+---