FIXME - Intrinsic Quality Analysis of OpenStreetMap using Topic Models

Data sets used in the analysis of OpenStreetMap data quality issues, as indicated by OSM Contributors themselves, using the FIXME Feature Tag. Text Mining and Knowledge Exposition was done using Topic Models and Latent Labelled Dirichlet Allocation (L-LDA) algorithm. The data sets are taken from OSM North America and Australia and the text corpus processed in a format that is suitable to be used for L-LDA.