Published August 13, 2024 | Version v4

Integration of data sets from different sources for modeling gender violence and perception of insecurity

Description

The dataset is composed of three distinct files which aggregate processed data derived from open datasets of three cities: Dublin, San Francisco, and Valencia. The data has been mapped to a grid of 25m² for Valencia and 50m² for Dublin and San Francisco. The respective files are named DATA_ES_VLC.csv, DATA_IE_DUB.csv, and DATA_US_SFO.csv. Additionally, there is a dataset for tweets named DATA_TWT.csv, which contains tweets collected through web scraping and analysed using natural language processing (NLP) algorithms and neural networks. The aim is to identify and classify tweets that discuss gender-based violence in the city of Valencia. Another file, MAP_ES_VLC.csv, includes points collected during various mapathons conducted by the Polytechnic University of Valencia campus for a science project aimed at identifying potentially insecure locations.

Files

DATA_ES_VLC.csv

Files (195.0 MB)

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Additional details

Funding

Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital
AICO2022 CIAICO/2021/292

Software

Repository URL
https://github.com/Carma64c/CriteriaTaronja
Programming language
Python
Development Status
Active