Comparative study of statistical features to detect the target event during disaster-Reference-Cited by-同舟云学术

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Comparative study of statistical features to detect the target event during disaster

Published:2020-06 Issue:2 Volume:3 Page:121-130
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Sreenivasulu Madichetty,Sridevi M.

Publisher

Tsinghua University Press

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/8254253/9007868/09007873.pdf?arnumber=9007873

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A review of deep learning techniques for disaster management in social media: trends and challenges;The European Physical Journal Special Topics;2024-05-03

3. An Enhanced Ensemble Framework for Disaster Tweet Categorization;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

4. Classifying informative tweets using feature enhanced pre-trained language model;Social Network Analysis and Mining;2024-02-29

5. Deep Learning Based Event Detection Using Multilingual Tweets During Disaster;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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