Fine-grained geolocation prediction of tweets with human machine collaboration

F Dutt, S Das - arXiv preprint arXiv:2106.13411, 2021 - arxiv.org
Twitter is a useful resource to analyze peoples' opinions on various topics. Often these
topics are correlated or associated with locations from where these Tweet posts are made …

Visual Exploration and Debugging of Machine Learning Classification over Social Media Data

M Kejriwal, P Zhou - Big Data and Social Media Analytics: Trending …, 2021 - Springer
Humanitarian and geopolitical crises (such as COVID-19) are frequently extra-national in
scope. Technology, including applications of natural language processing and machine …

An enhanced text-mining framework for extracting disaster relevant data through social media and remote sensing data fusion

CJ Scheele, Q Huang - AGU Fall Meeting Abstracts, 2016 - ui.adsabs.harvard.edu
In the past decade, the rise in social media has led to the development of a vast number of
social media services and applications. Disaster management represents one of such …

TREC incident streams: Finding actionable information on social media

R McCreadie, C Buntain, I Soboroff - 2019 - eprints.gla.ac.uk
The Text Retrieval Conference (TREC) Incident Streams track is a new initiative that aims to
mature social media-based emergency response technology. This initiative advances the …

[PDF][PDF] Learning User Latent Attributes on Social Media.

B Huang - 2020 - reports-archive.adm.cs.cmu.edu
In recent years, there is a growing interest in using social media to understand social
phenomena. Researchers have demonstrated many important applications of using online …

Multilingual retrieval of crisis-relevant information from social media

F Vitiugin - 2023 - repositori.upf.edu
Social media is a valuable platform for sharing real-time perspectives and insights,
particularly during dynamic events. Extracting relevant information from social media during …

Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]

J Jiang, C Han, WX Zhao, J Wang - arXiv preprint arXiv:2308.12899, 2023 - arxiv.org
The field of urban spatial-temporal prediction is advancing rapidly with the development of
deep learning techniques and the availability of large-scale datasets. However, challenges …

High-resolution home location prediction from tweets using deep learning with dynamic structure

M Ghaffari, A Srinivasan, X Liu - Proceedings of the 2019 IEEE/ACM …, 2019 - dl.acm.org
Timely and high-resolution estimates of the home locations of a sufficiently large subset of
the population are critical for applications such as disaster response and public health …

[PDF][PDF] Social Media Analyst Responding Tool: A Visual Analytics Prototype to Identify Relevant Tweets in Emergency Events.

M Marbouti, I Mayor, D Yim, F Maurer - ISCRAM, 2017 - academia.edu
Public and humanitarian organizations monitor social media to extract useful information
during emergencies. In this paper, we propose a new method for identifying situation …

Situational awareness extraction: a comprehensive review of social media data classification during natural hazards

J Vongkusolkit, Q Huang - Annals of GIS, 2021 - Taylor & Francis
Social media (eg, Twitter and Facebook) can be regarded as vital sources of information
during disasters to improve situational awareness (SA) and disaster management since they …