kind: product-templateai: NLPdomain: PA
Multiclass sequence classifier based on BERT base italian, fine-tuned on selected corpora from Municipalities's Family Audit plans.
The context in which this project was developed: The classifier is trained to suggest one or more labels within the Family Audit framework. More specifically, the classifier can predict the category of the action ("azione") of the text describing it. Given that the category of action for Municipalities is univocally connected with one macrocategory ("macrocategoria") and one field ("campo"), this classifier can be used to indicate which macrocategory and field of the action the text belongs to.
The classifier is a tool that can be actually used for any classification domain, given similar or bigger amounts of text data. It does not matter which are the labels to predict, but they need to be encoded as integers (e.g. "Ecology" is represented by 1, "Childcare" is represented by 2, etc.).
The model can be trained for further fine-tuning on new data.
At the time of writing, this README is structured on similar tools such as EuroVoc-Classifier and its previous version.
The usage for this template is to facilitate the integration of AI in PA-user interfaces:
- PA operators (from municipalities, regional operators, etc.) More details in the usage section here.
There is a short version of the data used for training here.