A sentiment-aware contextual model for real-time disaster prediction using twitter data
G Song, D Huang - Future Internet, 2021 - mdpi.com
The massive amount of data generated by social media present a unique opportunity for
disaster analysis. As a leading social platform, Twitter generates over 500 million Tweets …
disaster analysis. As a leading social platform, Twitter generates over 500 million Tweets …
FReCS: A First Responder Classification System
In today's digital age, categorizing social media data, particularly from platforms like X, can
be an effective strategy for identifying key first responders during emergencies, thereby …
be an effective strategy for identifying key first responders during emergencies, thereby …
[PDF][PDF] Methods for improving entity linking and exploiting social media messages across crises.
RS Joao - 2023 - core.ac.uk
Entity Linking (EL) is the task of automatically identifying entity mentions in texts and
resolving them to a corresponding entity in a reference knowledge base (KB). There is a …
resolving them to a corresponding entity in a reference knowledge base (KB). There is a …
Methods for improving entity linking and exploiting social media messages across crises
R Stoffalette Joao - 2023 - repo.uni-hannover.de
Entity Linking (EL) is the task of automatically identifying entity mentions in texts and
resolving them to a corresponding entity in a reference knowledge base (KB). There is a …
resolving them to a corresponding entity in a reference knowledge base (KB). There is a …
SỬ DỤNG MẠNG CNN TRÍCH RÚT ĐẶC TRƯNG LIÊN QUAN ĐẾN CÁC TIN NHẮN KHẨN CẤP TRÊN MẠNG XÃ HỘI
ĐN Anh, NQ Anh - TNU Journal of Science and Technology, 2022 - jst.tnu.edu.vn
Tóm tắt Từ các thông tin trên các trang mạng xã hội, bài toán phân tích xác định nội dung là
thật hay giả là một vấn đề cần nghiên cứu trong xử lý ngôn ngữ tự nhiên (NLP). Bài báo …
thật hay giả là một vấn đề cần nghiên cứu trong xử lý ngôn ngữ tự nhiên (NLP). Bài báo …