Time to share an old project and make it public! The project revolves around georeferencing locality descriptions using Python code and state-of-the-art Natural Language Processing (NLP) techniques, with a focus on Named Entity Recognition (NER) pretrained models.
Within the realm of cultural heritage, reports serve as repositories of invaluable spatial, temporal, and domain-specific knowledge pertaining to heritage sites.
In my recent project, I’ve delved into the world of natural language processing, using Python along with key libraries like Gensim, Flair, and pyLDAVis.
