mlsanityData to 14 Oct 2026

Predicting the Geolocation of Tweets Using transformer models on Customized Data

arXiv 2303.07865 ↗First posted 14 Mar 2023cs.CL cs.AI cs.IRcited by 1

Not on the map. Why?

Abstract (arXiv)

This research is aimed to solve the tweet/user geolocation prediction task and provide a flexible methodology for the geotagging of textual big data. The suggested approach implements neural networks for natural language processing (NLP) to estimate the location as coordinate pairs (longitude, latitude) and two-dimensional Gaussian Mixture Models (GMMs). The scope of proposed models has been finetuned on a Twitter dataset using pretrained Bidirectional Encoder Representations from Transformers (BERT) as base models. Performance metrics show a median error of fewer than 30 km on a worldwide-level, and fewer than 15 km on the US-level datasets for the models trained and evaluated on text features of tweets' content and metadata context. Our source code and data are available at https://github.com/K4TEL/geo-twitter.git

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 57 references that are in the map. First posted on arXiv 14 Mar 2023.

Builds on

16 of 57 references.

References · 16

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  3. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
  4. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,811
  5. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,790
  6. 2017A Survey of Location Prediction on Twittercited by 17
  7. 2022A Transformer-based Framework for POI-level Social Post Geolocationcited by 13
  8. 2017A Neural Model for User Geolocation and Lexical Dialectologycited by 12
  9. 2019A Hierarchical Location Prediction Neural Network for Twitter User Geolocationcited by 11
  10. 2017Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networkscited by 8
  11. 2015Exploiting Text and Network Context for Geolocation of Social Media Userscited by 6
  12. 2018Twitter User Geolocation using Deep Multiview Learningcited by 5
4 more
  1. 2020Point-of-Interest Type Inference from Social Media Textcited by 5
  2. 2013Inferring the Origin Locations of Tweets with Quantitative Confidencecited by 4
  3. 2014Home Location Identification of Twitter Userscited by 4
  4. 2017Density Estimation for Geolocation via Convolutional Mixture Density Networkcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networkscited by 0