# Using Twitter Data to Monitor Immigration Sentiment
[Francisco Rowe](http://www.franciscorowe.com) [[`@fcorowe`](http://twitter.com/fcorowe)]<sup>1</sup>, Michael Mahony<sup>1</sup>, [Eduardo Graells-Garrido](http://datagramas.cl) [[`@carnby`](https://twitter.com/carnby)]<sup>2</sup>, [Marzia Rango](https://migrationdataportal.org/de/node/2945) [[`@MarziaRango`](https://twitter.com/MarziaRango)]<sup>3</sup>, [Niklas Sievers](https://migrationdataportal.org/author/niklas-sievers) [[`@niklas_sievers
`](https://twitter.com/niklas_sievers)]<sup>3</sup>
<sup>1</sup> *Geographic Data Science Lab, University of Liverpool, Liverpool, United Kingdom*
<sup>2</sup> *Barcelona Supercomputing Center, Barcelona, Spain*
<sup>3</sup> *Global Migration Data Analysis Centre (GMDAC), International Organization for Migration, Berlin, Germany*
## Description
This repository contains the relevant data and code to replicate the analysis and results reported in the paper "Using Twitter Data to Monitor Immigration Sentiment", forthcoming in A practitioner Guide Book to be published by *International Organization for Migration*.
## Paper aim
To illustrate how immigration sentiment can be measured and monitored using Twitter data and natural language processing
