SRAI: Towards Standardization of Geospatial AI

1 code implementation • 19 Oct 2023 • Piotr Gramacki, Kacper Leśniara, Kamil Raczycki, Szymon Woźniak, Marcin Przymus, Piotr Szymański

Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data.

Assessment of Massively Multilingual Sentiment Classifiers

no code implementations • WASSA (ACL) 2022 • Krzysztof Rajda, Łukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Woźniak, Tomasz Kajdanowicz

We use these to assess 11 models and 80 high-quality sentiment datasets (out of 342 raw datasets collected) in 27 languages and included results on the internally annotated datasets.

Sentiment Analysis

Hex2vec -- Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags

1 code implementation • 1 Nov 2021 • Szymon Woźniak, Piotr Szymański

In this paper we propose the first approach to learning vector representations of OpenStreetMap regions with respect to urban functions and land-use in a micro-region grid.

Representation Learning

gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions

1 code implementation • 1 Nov 2021 • Piotr Gramacki, Szymon Woźniak, Piotr Szymański

We selected 48 European cities and gathered their public transport timetables in the GTFS format.

Clustering