A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi, Trevor Cohn, Timothy J. Baldwin · 2017
We propose a simple yet effective textbased user geolocation model based on a neural network with one hidden layer, which achieves state of the art performance over three Twitter benchmark geolocation datasets, in addition to producing word and phrase embeddings in the hidden layer that we show to be useful for detecting dialectal terms.As part of our analysis of dialectal terms, we release DAREDS, a dataset for evaluating dialect term detection methods.