# DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

## TL;DR

DLocRL is a deep learning pipeline designed to accurately recognize and link fine-grained location mentions in tweets, enhancing retrieval and recommendation systems by leveraging social media data.

## Contribution

The paper introduces DLocRL, a novel deep learning approach specifically tailored for fine-grained location recognition and linking in tweets, validated on real Twitter data.

## Key findings

- Effective location recognition and linking demonstrated
- Improved performance over baseline methods
- Validated on real-world Twitter dataset

## Abstract

In recent years, with the prevalence of social media and smart devices, people causally reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems. In this paper, we propose DLocRL, a new deep learning pipeline for fine-grained location recognition and linking in tweets, and verify its effectiveness on a real-world Twitter dataset.