Afshin Rahimi

I'm interested to learn more about people by processing data on social media. This includes both publically available content and social interactions. My area of resarch is a subfield of Computational Social Science and also Machine Learning.

News

  • Our ACL 2017 paper on geolocation (predict location given text) and lexical dialectology (predict text given location) where we talk about utilising both network and text information for geolocation and also use the geolocation model to retrieve dialect words within U.S. is available. The code and the evaluation dataset can be found here.
  • The Youtube Demo and Web UI of our geolocation tool is ready to use. The corresponding paper is published at ACL 2016, demonstration papers.
  • Our paper on geolocation of social media users is accepted at ACL 2015. We use social relationships and also tweet content of Tweeter users to find where they live!
  • Our paper on geolocation of social media users is accepted at NAACL 2015. We use social relationships and also tweet content of Tweeter users to find where they live!

Selected Papers

A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In ACL 2017, Short papers., 2017.
Abstract Code
pigeo, A Python Geotagging Tool
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In ACL 2016, Demonstration papers., 2016.
Abstract Code
Twitter User Geolocation Using a Unified Text and Network Prediction Model
Afshin Rahimi, Trevor Cohn and Timothy Baldwin. In ACL 2015, Short papers., 2015.
Abstract Code
Exploiting text and network context for geolocation of social media users
Afshin Rahimi, Duy Vu, Trevor Cohn and Timothy Baldwin. In NAACL-HLT 2015, Short papers., 2015.
Abstract Code