AISOP-fundid-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 "this is a text"

...outputs the recognition in JSON e.g.: { "Algorithmization": {"score": 0.39, "subs": {"Algorithmization": 0.94, "Variable": 0.58, "programming concepts": 0.49}}, "Encryption": {"score": 0.26, "subs": {"Encryption": 0.66, "Symmetric key systems": 0.5, "Substitution ciphers": 0.44}} }

Web-App Packaging

This model is part of the AISOP-domain-fundid https://gitlab.com/aisop/aisop-domain-fundid which is designed to serve for the AISOP-webapp.

The python scripts 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.