Perdido: Python library for geoparsing and geocoding French texts

Ludovic Moncla (1) , Mauro Gaio (2)

1 DM2L - Data Mining and Machine Learning
2 LMAP - Laboratoire de Mathématiques et de leurs Applications [Pau]

This paper introduces the Perdido Python library for geoparsing and geocoding French texts. The architecture of the Perdido Geoparser, which includes three layers: back-office, API, and Python library, is outlined. We also provide details on the methods used in the development of the processing chain and the various tasks covered, such as named entity recognition and classification (NERC), and toponym resolution. Lastly, we showcase the different features of the Python library and explain how to use it. The library is built as an overlay using API services, enabling users to manipulate, visualize, and export the results of geoparsing and geocoding. A Jupyter notebook is also provided to demonstrate all the functionalities implemented in the library.

Keywords: Geoparsing; geocoding; named entity recognition; toponym disambiguation

Domains: Computer Science [cs]

Ludovic Moncla, Mauro Gaio. Perdido: Python library for geoparsing and geocoding French texts. First International Workshop on Geographic Information Extraction from Texts (GeoExT), Apr 2023, Dublin, Ireland. ⟨hal-04049794⟩