A multilayer recognition model for twitter user geolocation

Volume: 28, Issue: 3, Pages: 1197 - 1202
Published: Jan 9, 2019
Abstract
Geolocation is important for many emerging applications such as disaster management and recommendation system. In this paper, we propose a multilayer recognition model (MRM) to predict the city-level location for social network users, solely based on the user’s tweet content. Through a series of optimizations such as entity selection, spatial clustering and outlier filtering, suitable features are extracted to model the geographic coordinates of...
Paper Details
Title
A multilayer recognition model for twitter user geolocation
Published Date
Jan 9, 2019
Volume
28
Issue
3
Pages
1197 - 1202
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.