Mining location from social media: A systematic review-Reference-Cited by-同舟云学术

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Mining location from social media: A systematic review

Published:2018-09 Issue: Volume:71 Page:209-240
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Stock Kristin

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modelling,Geography, Planning and Development

Reference220 articles.

1. Exploiting Flickr tags and groups for finding landmark photos;Abbasi,2009

2. Tweethood: Agglomerative clustering on fuzzy k-closest friends with variable depth for location mining;Abrol,2010

3. Hierarchical geographical modeling of user locations from social media posts;Ahmed,2013

4. A survey of location inference techniques on Twitter;Ajao;Journal of Information Science,2015

5. Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media;AlBanna;ISPRS International Journal of Geo-Information,2016

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2. Comparing location-specific and location-open social media data: methodological lessons from a study of blaming of minorities on Twitter during the COVID-19 pandemic;Journal of Computational Social Science;2024-07-20

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4. Understanding the Relationship between Urban Public Space and Social Cohesion: A Systematic Review;International Journal of Community Well-Being;2024-03-13

5. Towards a study of everyday geographic information: Bringing the everyday into view;Environment and Planning B: Urban Analytics and City Science;2023-12-05

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