TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels

4 October 2021

Papers citing "TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels"

7 / 7 papers shown

Title
WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada Braeden Sherritt Isar Nejadgholi Marzieh Amini VLM 44 0 0 17 Apr 2025
Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis Nirmalya Thakur 26 1 0 04 Oct 2024
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination Ashiqur Rahman Ehsan Mohammadi Hamed Alhoori 30 1 0 15 Jun 2024
Leave no Place Behind: Improved Geolocation in Humanitarian Documents Enrico Belliardo Kyriaki Kalimeri Yelena Mejova 22 2 0 06 Sep 2023
Machine Translation for Accessible Multi-Language Text Analysis Edward W. Chew W. D. Weisman Jingying Huang Seth Frey 13 2 0 20 Jan 2023
Where did you tweet from? Inferring the origin locations of tweets based on contextual information Rabindra Lamsal Aaron Harwood M. Read 17 11 0 18 Nov 2022
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence Ferda Ofli U. Qazi Muhammad Imran J. Roch C. Pennington V. Banks R. Bossu 27 6 0 14 Feb 2022