Code used for the paper https://doi.org/10.1016/j.compenvurbsys.2021.101597:
Title: Assessing the influence of point-of-interest features on the classification of place categories
It includes code for collecting data from Google, Google Street View, Foursquare and Twitter, for extracting various types of features from those data (using natural language processing, deep/machine learning techniques) and for predicting the points-of-interest (POIs) types. Several tools have been developed in a "quick and dirty" way.
Title:Extraction and combination of multidimensional point-of-interest features for the classification of urban place types
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