Practical Extraction of Disaster-Relevant Information from Social Media

被引：0

作者：

Imran, Muhammad ^{[1
]}

Elbassuoni, Shady ^{[2
]}

Castillo, Carlos ^{[3
]}

Diaz, Fernando ^{[4
]}

Meier, Patrick ^{[3
]}

机构：

[1] Univ Trento, Trento, Italy

[2] Amer Univ Beirut, Beirut, Lebanon

[3] Qatar Comp, Res Inst, Doha, Qatar

[4] Microsoft Res, Mountain View, CA USA

来源：

PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'13 COMPANION) | 2013年

关键词：

Social Media; information Filtering; information Extraction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

During times of disasters online users generate a significant amount of data, some of which are extremely valuable for relief efforts. In this paper, we study the nature of social-media content generated during two different natural disasters. We also train a model based on conditional random fields to extract valuable information from such content. We evaluate our techniques over our two datasets through a set of carefully designed experiments. We also test our methods over a non-disaster dataset to show that our extraction model is useful for extracting information from socially-generated content in general.

引用

页码：1021 / 1024

页数：4

共 50 条

[1] Multimodal Geo-Information Extraction from Social Media for Supporting Decision-Making in Disaster Management
Hanny, David
Resch, Bernd
[J]. 27TH AGILE CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE GEOGRAPHIC INFORMATION SCIENCE FOR A SUSTAINABLE FUTURE, 2024, 5
[2] Perception of Social Media as a Source of Relevant Information
Vranesevic, Tihomir
Peric, Nenad
Marusic, Tajana
[J]. ZAGREB INTERNATIONAL REVIEW OF ECONOMICS & BUSINESS, 2019, 22 (01): : 133 - 144
[3] Information Extraction from Social Media: Clustering and Labelling Microblogs
Hemavathi, D.
Kavitha, M.
Ahmed, Narjiya Begum
[J]. 2017 IEEE INTERNATIONAL CONFERENCE ON IOT AND ITS APPLICATIONS (IEEE ICIOT), 2017,
[4] Social media information sharing for natural disaster response
Dong, Zhijie Sasha
Meng, Lingyu
Christenson, Lauren
Fulton, Lawrence
[J]. NATURAL HAZARDS, 2021, 107 (03) : 2077 - 2104
[5] Social media information sharing for natural disaster response
Zhijie Sasha Dong
Lingyu Meng
Lauren Christenson
Lawrence Fulton
[J]. Natural Hazards, 2021, 107 : 2077 - 2104
[6] Disaster Prevention System Utilizing Social Media Information
Morita, Naoshi
Hayakawa, Makoto
Takao, Norisuke
[J]. FUJITSU SCIENTIFIC & TECHNICAL JOURNAL, 2018, 54 (02): : 54 - 58
[7] Adaptive Information Extraction of Disaster Information from Twitter
Rcgalado, Ralph Vincent J.
Chua, Jenina L.
Co, Justin L.
Cheng, Herman C.
Magpantay, Angelo Bruce L.
Kalaw, Kristine Ma. Dominique F.
[J]. 2014 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2014, : 286 - 289
[8] Extraction of Traffic Information from Social Media Interactions: Methods and Experiments
Cui, Jian
Fu, Rui
Dong, Chenghao
Zhang, Zuo
[J]. 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 1549 - 1554
[9] Flood Monitoring with Information Extraction Approach from Social Media Data
Putra, Prabu Kresna
Sencaki, Dionysius Bryan
Dinanta, Galih Prasetya
Alhasanah, Fauziah
Ramadhan, Rachmat
[J]. 2020 IEEE ASIA-PACIFIC CONFERENCE ON GEOSCIENCE, ELECTRONICS AND REMOTE SENSING TECHNOLOGY (AGERS 2020): UNDERSTANDING THE INTERCTION OF LAND, OCEAN AND ATMOSPHERE: DISASTER MITIGATION AND REGIONAL RESILLIENCE, 2020, : 113 - 119
[10] Utilizing Online Social Media for Disaster Relief: Practical Challenges in Retrieval
Basu, Moumita
[J]. SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2017, : 1385 - 1385

← 1 2 3 4 5 →